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{
"cells": [
{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
"This notebook runs the given model over all the benchmark sentences and show their alignment, stop-token prediction and spectrogram plot in order."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Populating the interactive namespace from numpy and matplotlib\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/erogol/miniconda3/lib/python3.6/site-packages/IPython/core/magics/pylab.py:160: UserWarning: pylab import has clobbered these variables: ['plt']\n",
"`%matplotlib` prevents importing * from pylab and numpy\n",
" \"\\n`%matplotlib` prevents importing * from pylab and numpy\"\n"
]
}
],
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"source": [
"%load_ext autoreload\n",
"%autoreload 2\n",
"import os\n",
"import sys\n",
"import io\n",
"import torch \n",
"import time\n",
"import numpy as np\n",
"from collections import OrderedDict\n",
"from matplotlib import pylab as plt\n",
"\n",
"%pylab inline\n",
"rcParams[\"figure.figsize\"] = (16,5)\n",
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"sys.path.append('/home/erogol/Projects/') # set this if TTS is not installed globally\n",
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"\n",
"import librosa\n",
"import librosa.display\n",
"\n",
"from TTS.models.tacotron import Tacotron \n",
"from TTS.layers import *\n",
"from TTS.utils.data import *\n",
"from TTS.utils.audio import AudioProcessor\n",
"from TTS.utils.generic_utils import load_config\n",
"from TTS.utils.text import text_to_sequence\n",
"\n",
"import IPython\n",
"from IPython.display import Audio\n",
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"from synthesis import *"
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]
},
{
"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
"outputs": [],
"source": [
"def tts(model, text, CONFIG, use_cuda, ap, figures=True):\n",
" t_1 = time.time()\n",
" waveform, alignment, spectrogram, stop_tokens = create_speech(model, text, CONFIG, use_cuda, ap) \n",
" print(\" > Run-time: {}\".format(time.time() - t_1))\n",
" if figures: \n",
" visualize(alignment, spectrogram, stop_tokens, CONFIG) \n",
" IPython.display.display(Audio(waveform, rate=CONFIG.sample_rate)) \n",
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" out_path = 'benchmark_samples/'\n",
" os.makedirs(out_path, exist_ok=True)\n",
" file_name = text.replace(\" \", \"_\").replace(\".\",\"\") + \".wav\"\n",
" out_path = os.path.join(out_path, file_name)\n",
" ap.save_wav(waveform, out_path)\n",
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" return alignment, spectrogram, stop_tokens"
]
},
{
"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
"outputs": [],
"source": [
"# Set constants\n",
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"ROOT_PATH = '/home/erogol/Projects/runs/local_runs/September-26-2018_06+55PM-TTS-attn-smoothing-bgs-sigmoid-wd-231607a/'\n",
"MODEL_PATH = ROOT_PATH + '/best_model.pth.tar'\n",
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"CONFIG_PATH = ROOT_PATH + '/config.json'\n",
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"OUT_FOLDER = ROOT_PATH + '/test'\n",
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"CONFIG = load_config(CONFIG_PATH)\n",
"use_cuda = True"
]
},
{
"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" | > Number of characters : 149\n",
" > Setting up Audio Processor...\n",
" | > fft size: 2048, hop length: 275, win length: 1100\n"
]
},
{
"data": {
"text/plain": [
"Tacotron(\n",
" (embedding): Embedding(149, 256)\n",
" (encoder): Encoder(\n",
" (prenet): Prenet(\n",
" (layers): ModuleList(\n",
" (0): Linear(in_features=256, out_features=256, bias=True)\n",
" (1): Linear(in_features=256, out_features=128, bias=True)\n",
" )\n",
" (relu): ReLU()\n",
" (dropout): Dropout(p=0.5)\n",
" )\n",
" (cbhg): EncoderCBHG(\n",
" (cbhg): CBHG(\n",
" (relu): ReLU()\n",
" (conv1d_banks): ModuleList(\n",
" (0): BatchNormConv1d(\n",
" (padder): ConstantPad1d(padding=[0, 0], value=0)\n",
" (conv1d): Conv1d(128, 128, kernel_size=(1,), stride=(1,), bias=False)\n",
" (bn): BatchNorm1d(128, eps=0.001, momentum=0.99, affine=True, track_running_stats=True)\n",
" (activation): ReLU()\n",
" )\n",
" (1): BatchNormConv1d(\n",
" (padder): ConstantPad1d(padding=[0, 1], value=0)\n",
" (conv1d): Conv1d(128, 128, kernel_size=(2,), stride=(1,), bias=False)\n",
" (bn): BatchNorm1d(128, eps=0.001, momentum=0.99, affine=True, track_running_stats=True)\n",
" (activation): ReLU()\n",
" )\n",
" (2): BatchNormConv1d(\n",
" (padder): ConstantPad1d(padding=[1, 1], value=0)\n",
" (conv1d): Conv1d(128, 128, kernel_size=(3,), stride=(1,), bias=False)\n",
" (bn): BatchNorm1d(128, eps=0.001, momentum=0.99, affine=True, track_running_stats=True)\n",
" (activation): ReLU()\n",
" )\n",
" (3): BatchNormConv1d(\n",
" (padder): ConstantPad1d(padding=[1, 2], value=0)\n",
" (conv1d): Conv1d(128, 128, kernel_size=(4,), stride=(1,), bias=False)\n",
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" )\n",
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" )\n",
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" )\n",
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" )\n",
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" (activation): ReLU()\n",
" )\n",
" (11): BatchNormConv1d(\n",
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" (conv1d): Conv1d(128, 128, kernel_size=(12,), stride=(1,), bias=False)\n",
" (bn): BatchNorm1d(128, eps=0.001, momentum=0.99, affine=True, track_running_stats=True)\n",
" (activation): ReLU()\n",
" )\n",
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" (conv1d): Conv1d(128, 128, kernel_size=(13,), stride=(1,), bias=False)\n",
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" (activation): ReLU()\n",
" )\n",
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" (padder): ConstantPad1d(padding=[6, 7], value=0)\n",
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" (activation): ReLU()\n",
" )\n",
" (14): BatchNormConv1d(\n",
" (padder): ConstantPad1d(padding=[7, 7], value=0)\n",
" (conv1d): Conv1d(128, 128, kernel_size=(15,), stride=(1,), bias=False)\n",
" (bn): BatchNorm1d(128, eps=0.001, momentum=0.99, affine=True, track_running_stats=True)\n",
" (activation): ReLU()\n",
" )\n",
" (15): BatchNormConv1d(\n",
" (padder): ConstantPad1d(padding=[7, 8], value=0)\n",
" (conv1d): Conv1d(128, 128, kernel_size=(16,), stride=(1,), bias=False)\n",
" (bn): BatchNorm1d(128, eps=0.001, momentum=0.99, affine=True, track_running_stats=True)\n",
" (activation): ReLU()\n",
" )\n",
" )\n",
" (max_pool1d): Sequential(\n",
" (0): ConstantPad1d(padding=[0, 1], value=0)\n",
" (1): MaxPool1d(kernel_size=2, stride=1, padding=0, dilation=1, ceil_mode=False)\n",
" )\n",
" (conv1d_projections): ModuleList(\n",
" (0): BatchNormConv1d(\n",
" (padder): ConstantPad1d(padding=[1, 1], value=0)\n",
" (conv1d): Conv1d(2048, 128, kernel_size=(3,), stride=(1,), bias=False)\n",
" (bn): BatchNorm1d(128, eps=0.001, momentum=0.99, affine=True, track_running_stats=True)\n",
" (activation): ReLU()\n",
" )\n",
" (1): BatchNormConv1d(\n",
" (padder): ConstantPad1d(padding=[1, 1], value=0)\n",
" (conv1d): Conv1d(128, 128, kernel_size=(3,), stride=(1,), bias=False)\n",
" (bn): BatchNorm1d(128, eps=0.001, momentum=0.99, affine=True, track_running_stats=True)\n",
" )\n",
" )\n",
" (highways): ModuleList(\n",
" (0): Highway(\n",
" (H): Linear(in_features=128, out_features=128, bias=True)\n",
" (T): Linear(in_features=128, out_features=128, bias=True)\n",
" (relu): ReLU()\n",
" (sigmoid): Sigmoid()\n",
" )\n",
" (1): Highway(\n",
" (H): Linear(in_features=128, out_features=128, bias=True)\n",
" (T): Linear(in_features=128, out_features=128, bias=True)\n",
" (relu): ReLU()\n",
" (sigmoid): Sigmoid()\n",
" )\n",
" (2): Highway(\n",
" (H): Linear(in_features=128, out_features=128, bias=True)\n",
" (T): Linear(in_features=128, out_features=128, bias=True)\n",
" (relu): ReLU()\n",
" (sigmoid): Sigmoid()\n",
" )\n",
" (3): Highway(\n",
" (H): Linear(in_features=128, out_features=128, bias=True)\n",
" (T): Linear(in_features=128, out_features=128, bias=True)\n",
" (relu): ReLU()\n",
" (sigmoid): Sigmoid()\n",
" )\n",
" )\n",
" (gru): GRU(128, 128, batch_first=True, bidirectional=True)\n",
" )\n",
" )\n",
" )\n",
" (decoder): Decoder(\n",
" (prenet): Prenet(\n",
" (layers): ModuleList(\n",
" (0): Linear(in_features=400, out_features=256, bias=True)\n",
" (1): Linear(in_features=256, out_features=128, bias=True)\n",
" )\n",
" (relu): ReLU()\n",
" (dropout): Dropout(p=0.5)\n",
" )\n",
" (attention_rnn): AttentionRNNCell(\n",
" (rnn_cell): GRUCell(384, 256)\n",
" (alignment_model): LocationSensitiveAttention(\n",
" (loc_conv): Sequential(\n",
" (0): ConstantPad1d(padding=[15, 15], value=0)\n",
" (1): Conv1d(2, 32, kernel_size=(31,), stride=(1,), bias=False)\n",
" )\n",
" (loc_linear): Linear(in_features=32, out_features=128, bias=True)\n",
" (query_layer): Linear(in_features=256, out_features=128, bias=True)\n",
" (annot_layer): Linear(in_features=256, out_features=128, bias=True)\n",
" (v): Linear(in_features=128, out_features=1, bias=False)\n",
" )\n",
" )\n",
" (project_to_decoder_in): Linear(in_features=512, out_features=256, bias=True)\n",
" (decoder_rnns): ModuleList(\n",
" (0): GRUCell(256, 256)\n",
" (1): GRUCell(256, 256)\n",
" )\n",
" (proj_to_mel): Linear(in_features=256, out_features=400, bias=True)\n",
" (stopnet): StopNet(\n",
" (rnn): GRUCell(400, 400)\n",
" (relu): ReLU()\n",
" (linear): Linear(in_features=400, out_features=1, bias=True)\n",
" (sigmoid): Sigmoid()\n",
" )\n",
" )\n",
" (postnet): PostCBHG(\n",
" (cbhg): CBHG(\n",
" (relu): ReLU()\n",
" (conv1d_banks): ModuleList(\n",
" (0): BatchNormConv1d(\n",
" (padder): ConstantPad1d(padding=[0, 0], value=0)\n",
" (conv1d): Conv1d(80, 128, kernel_size=(1,), stride=(1,), bias=False)\n",
" (bn): BatchNorm1d(128, eps=0.001, momentum=0.99, affine=True, track_running_stats=True)\n",
" (activation): ReLU()\n",
" )\n",
" (1): BatchNormConv1d(\n",
" (padder): ConstantPad1d(padding=[0, 1], value=0)\n",
" (conv1d): Conv1d(80, 128, kernel_size=(2,), stride=(1,), bias=False)\n",
" (bn): BatchNorm1d(128, eps=0.001, momentum=0.99, affine=True, track_running_stats=True)\n",
" (activation): ReLU()\n",
" )\n",
" (2): BatchNormConv1d(\n",
" (padder): ConstantPad1d(padding=[1, 1], value=0)\n",
" (conv1d): Conv1d(80, 128, kernel_size=(3,), stride=(1,), bias=False)\n",
" (bn): BatchNorm1d(128, eps=0.001, momentum=0.99, affine=True, track_running_stats=True)\n",
" (activation): ReLU()\n",
" )\n",
" (3): BatchNormConv1d(\n",
" (padder): ConstantPad1d(padding=[1, 2], value=0)\n",
" (conv1d): Conv1d(80, 128, kernel_size=(4,), stride=(1,), bias=False)\n",
" (bn): BatchNorm1d(128, eps=0.001, momentum=0.99, affine=True, track_running_stats=True)\n",
" (activation): ReLU()\n",
" )\n",
" (4): BatchNormConv1d(\n",
" (padder): ConstantPad1d(padding=[2, 2], value=0)\n",
" (conv1d): Conv1d(80, 128, kernel_size=(5,), stride=(1,), bias=False)\n",
" (bn): BatchNorm1d(128, eps=0.001, momentum=0.99, affine=True, track_running_stats=True)\n",
" (activation): ReLU()\n",
" )\n",
" (5): BatchNormConv1d(\n",
" (padder): ConstantPad1d(padding=[2, 3], value=0)\n",
" (conv1d): Conv1d(80, 128, kernel_size=(6,), stride=(1,), bias=False)\n",
" (bn): BatchNorm1d(128, eps=0.001, momentum=0.99, affine=True, track_running_stats=True)\n",
" (activation): ReLU()\n",
" )\n",
" (6): BatchNormConv1d(\n",
" (padder): ConstantPad1d(padding=[3, 3], value=0)\n",
" (conv1d): Conv1d(80, 128, kernel_size=(7,), stride=(1,), bias=False)\n",
" (bn): BatchNorm1d(128, eps=0.001, momentum=0.99, affine=True, track_running_stats=True)\n",
" (activation): ReLU()\n",
" )\n",
" (7): BatchNormConv1d(\n",
" (padder): ConstantPad1d(padding=[3, 4], value=0)\n",
" (conv1d): Conv1d(80, 128, kernel_size=(8,), stride=(1,), bias=False)\n",
" (bn): BatchNorm1d(128, eps=0.001, momentum=0.99, affine=True, track_running_stats=True)\n",
" (activation): ReLU()\n",
" )\n",
" )\n",
" (max_pool1d): Sequential(\n",
" (0): ConstantPad1d(padding=[0, 1], value=0)\n",
" (1): MaxPool1d(kernel_size=2, stride=1, padding=0, dilation=1, ceil_mode=False)\n",
" )\n",
" (conv1d_projections): ModuleList(\n",
" (0): BatchNormConv1d(\n",
" (padder): ConstantPad1d(padding=[1, 1], value=0)\n",
" (conv1d): Conv1d(1024, 256, kernel_size=(3,), stride=(1,), bias=False)\n",
" (bn): BatchNorm1d(256, eps=0.001, momentum=0.99, affine=True, track_running_stats=True)\n",
" (activation): ReLU()\n",
" )\n",
" (1): BatchNormConv1d(\n",
" (padder): ConstantPad1d(padding=[1, 1], value=0)\n",
" (conv1d): Conv1d(256, 80, kernel_size=(3,), stride=(1,), bias=False)\n",
" (bn): BatchNorm1d(80, eps=0.001, momentum=0.99, affine=True, track_running_stats=True)\n",
" )\n",
" )\n",
" (pre_highway): Linear(in_features=80, out_features=128, bias=False)\n",
" (highways): ModuleList(\n",
" (0): Highway(\n",
" (H): Linear(in_features=128, out_features=128, bias=True)\n",
" (T): Linear(in_features=128, out_features=128, bias=True)\n",
" (relu): ReLU()\n",
" (sigmoid): Sigmoid()\n",
" )\n",
" (1): Highway(\n",
" (H): Linear(in_features=128, out_features=128, bias=True)\n",
" (T): Linear(in_features=128, out_features=128, bias=True)\n",
" (relu): ReLU()\n",
" (sigmoid): Sigmoid()\n",
" )\n",
" (2): Highway(\n",
" (H): Linear(in_features=128, out_features=128, bias=True)\n",
" (T): Linear(in_features=128, out_features=128, bias=True)\n",
" (relu): ReLU()\n",
" (sigmoid): Sigmoid()\n",
" )\n",
" (3): Highway(\n",
" (H): Linear(in_features=128, out_features=128, bias=True)\n",
" (T): Linear(in_features=128, out_features=128, bias=True)\n",
" (relu): ReLU()\n",
" (sigmoid): Sigmoid()\n",
" )\n",
" )\n",
" (gru): GRU(128, 128, batch_first=True, bidirectional=True)\n",
" )\n",
" )\n",
" (last_linear): Sequential(\n",
" (0): Linear(in_features=256, out_features=1025, bias=True)\n",
" (1): Sigmoid()\n",
" )\n",
")"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
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"source": [
"# load the model\n",
"model = Tacotron(CONFIG.embedding_size, CONFIG.num_freq, CONFIG.num_mels, CONFIG.r)\n",
"\n",
"# load the audio processor\n",
"\n",
"ap = AudioProcessor(CONFIG.sample_rate, CONFIG.num_mels, CONFIG.min_level_db,\n",
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" CONFIG.frame_shift_ms, CONFIG.frame_length_ms,\n",
" CONFIG.ref_level_db, CONFIG.num_freq, CONFIG.power, CONFIG.preemphasis,\n",
" griffin_lim_iters=50) \n",
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"\n",
"\n",
"# load model state\n",
"if use_cuda:\n",
" cp = torch.load(MODEL_PATH)\n",
"else:\n",
" cp = torch.load(MODEL_PATH, map_location=lambda storage, loc: storage)\n",
"\n",
"# load the model\n",
"model.load_state_dict(cp['model'])\n",
"if use_cuda:\n",
" model.cuda()\n",
"model.eval()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Comparision with https://mycroft.ai/blog/available-voices/"
]
},
{
"cell_type": "code",
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"execution_count": 5,
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"metadata": {
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"scrolled": true
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},
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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" > Run-time: 3.426151990890503\n"
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]
},
{
"data": {
"text/html": [
"\n",
" <audio controls=\"controls\" >\n",
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" <source src=\"data:audio/wav;base64,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" Your browser does not support the audio element.\n",
" </audio>\n",
" "
],
"text/plain": [
"<IPython.lib.display.Audio object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"image/png": "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"text/plain": [
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"<matplotlib.figure.Figure at 0x7fa611ee7ef0>"
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]
},
"metadata": {},
"output_type": "display_data"
}
],
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"source": [
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"sentence = \"It took me quite a long time to develop a voice, and now that I have it I'm not going to be silent .\"\n",
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"model.decoder.max_decoder_steps = 250\n",
"align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap, figures=True)"
]
},
{
"cell_type": "code",
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"execution_count": 6,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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" > Run-time: 0.871300220489502\n"
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]
},
{
"data": {
"text/html": [
"\n",
" <audio controls=\"controls\" >\n",
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" <source src=\"data:audio/wav;base64,UklGRgggAQBXQVZFZm10IBAAAAABAAEA8FUAAOCrAAACABAAZGF0YeQfAQAAAAAAAAAAAAAAAAD////////+//7//v/9//3//P/8//v/+//6//r/+f/5//j/+P/4//f/9//2//b/9v/2//b/9v/2//b/9v/2//b/9v/2//f/+P/4//n/+v/6//v//P/9//7///8AAAAAAQACAAMABAAFAAYABwAHAAgACAAJAAkACQAJAAkACQAJAAkACQAJAAgACAAIAAgABwAHAAcABgAGAAYABgAGAAYABgAGAAcABwAHAAgACAAJAAkACgAKAAsACwALAAwADAAMAAwADAANAA0ADAAMAAwACwALAAoACQAIAAcABgAFAAQAAgABAAAA///+//z/+//5//f/9v/0//L/8f/v/+7/7P/r/+n/6P/n/+b/5f/k/+P/4v/h/+D/4P/f/9//3v/e/97/3v/f/9//3//g/+H/4v/i/+T/5f/n/+n/6//s/+7/8P/y//X/9//6//z///8BAAMABgAJAAsADwARABQAFwAZABwAHwAiACQAJgApACsALQAwADIANAA1ADcAOQA6ADwAPQA+AD4APwA/AD8APwA+AD0APAA7ADkANwA0ADIALwArACcAJAAfABsAFwASAA4ACQAEAAAA+//2//L/7f/o/+T/4P/c/9j/1P/R/83/y//I/8b/xP/C/8D/v/++/73/vP+8/7z/vP+8/7z/vf+9/77/v/+//8D/wf/C/8T/xv/H/8n/yv/M/83/z//R/9P/1P/W/9j/2v/c/97/4P/i/+X/6P/q/+z/8P/y//X/+P/6//3/AAADAAYACgANABEAFAAYABsAHgAhACQAKAArAC4AMQA1ADgAOwA+AEEARABIAEsATwBSAFUAWQBdAGEAZQBoAGwAcQB0AHkAfACAAIQAhwCLAI4AkQCSAJQAlQCVAJUAlACSAI8AiwCGAIAAegByAGkAXgBUAEcAOwAtAB4ADgD//+//3f/L/7r/p/+U/4L/cP9e/03/O/8r/xz/Dv8A//T+6v7g/tj+0v7N/sr+yf7I/sr+zf7S/tn+4P7q/vT+AP8N/xr/Kf85/0n/Wv9r/33/j/+h/7P/xP/W/+f/+P8IABgAKAA4AEcAVQBjAHEAfgCLAJcAogCuALgAwgDMANUA3gDnAO8A9wD+AAQBCgEQARQBGQEdASABIwElAScBJwEoAScBJgEkASIBHgEbARUBEAEKAQMB+wDyAOgA3QDSAMUAuACqAJoAigB4AGUAUgA9ACgAEgD8/+X/zP+0/5r/gf9n/07/NP8a/wH/6f7Q/rn+ov6N/nn+Z/5V/kb+OP4s/iP+G/4W/hP+Ev4U/hj+H/4o/jT+Q/5T/mb+ev6R/qn+w/7f/vz+Gf84/1f/d/+X/7f/1//3/xUANABRAG0AiACjALwA1ADrAAEBFAEmATYBRQFSAV4BaAFwAXcBfQGBAYQBhwGIAYgBhwGFAYIBfgF6AXUBbwFqAWMBXQFVAU0BRQE9ATUBLAEiARgBDQEBAfYA6gDdANEAxAC2AKcAmACIAHgAZwBUAEEALQAYAAMA7//Y/8H/qf+R/3n/X/9G/y3/E//5/t/+xf6s/pP+fP5m/lL+P/4t/hz+Df4B/vb97/3p/eb95v3o/ez99P3+/Qz+HP4v/kP+Wf5x/ov+p/7D/uH+AP8f/z//X/9//57/vv/d//v/FgAyAEwAZQB9AJQAqQC+ANEA4wDzAAMBEwEhAS8BOwFGAVEBWgFjAWsBdAF8AYQBigGQAZUBmgGfAaIBpAGlAaYBpQGjAaABnAGXAZEBigGBAXYBawFfAVIBRAE1ASMBEQH+AOsA1wDBAKwAlgB/AGgAUAA3AB8ABwDw/9j/v/+m/47/d/9g/0r/NP8e/wj/9P7f/sz+uv6p/pr+jP59/nD+ZP5a/lH+Sf5C/jz+OP41/jP+M/40/jf+Pf5A/kb+Tf5V/mH+bP55/of+lv6m/rb+yP7b/u/+BP8a/zD/Rv9e/3X/jv+p/8L/3f/3/w4AKABDAF0AeACSAKoAxADcAPQADAEkAT0BUwFoAXkBigGcAa4BvQHKAdgB4gHsAfYB+gH8AQACAgIDAgIC/AHzAeoB4AHWAckBuAGkAY8BegFkAUwBMQEWAfsA3wDAAJ4AfABbADoAGgD5/9j/uf+Z/3v/W/88/yH/CP/x/tv+x/60/qL+lf6J/n7+ef50/nH+bP5q/m3+cv55/oH+i/6R/pj+n/6n/rT+vv7J/tj+4v7u/vr+//4G/xL/GP8g/yj/Lv84/0H/Sf9Q/1j/Yf9q/3b/g/+K/5P/nf+n/7f/yv/b/+z//v8LABwALwA+AEsAYAB0AIcAnACpALkAzADiAPQABwETARgBJgEvAT4BSwFUAWIBcAF6AYABfwGAAYMBhwGMAYwBhQGBAYABfAF5AW0BYQFaAU8BPwEuARMB/ADuAN4AxwCtAJIAeQBdAEEAIwD9/+H/yP+v/5b/c/9O/zL/Gv8D//H+1v68/qj+nf6O/oD+dv5q/mj+af5i/l3+Xv5f/m3+gf6M/pH+nv6u/r7+z/7b/ub+8f4D/xv/MP9A/1D/Zv95/4f/jf+S/5r/pv+1/77/yP/X/+z/AAANAAwABQAIABIAJQA1AEIATQBYAGUAbQB3AIMAkgCjALQAwgDEAMQAxwDbAO0ABQEcASABIQEfASIBLgFAAVcBYwFdAVcBUgFWAVoBZgFuAW8BcwFoAVcBSwE7AS4BNAEoARgBAwHtANsAwgCsAJYAfABdAEAAIwAEAOH/wv+n/4X/bf9h/zL/Cv/1/sf+r/6q/pj+hv5t/kr+Rv48/jb+Ov41/jf+Kv4f/hb+Gv4m/kf+Z/59/n3+b/52/nX+mv67/sj+3f7t/gD/EP8d/0H/Zv+L/6H/h/9+/4j/rv/n/yUAPgA+AEUANgBHAGcAfgCdALwAygDgAPEA9gABAQgBMAFRAU0BVAE/AUQBcQGJAZsBpAGlAacBoAGWAZIBhgGVAbkB1QHSAcABsAGkAbUBuQGiAZQBlgGYAYwBiQF3AXABiwGJAZABaAEQAdkAxADUANgAxwClAGUAWgBDAAkA6P+M/0T/Kf8T/8z+if5c/jX+Qf45/vz9oP1d/Rj9Ff0E/cL8uPyl/Lj84/zh/MP8sPyR/KP87Pz0/OD87Pzx/DT9qf3S/fv9C/43/mz+c/6V/rP+Df9j/6j/5P/V/+7/UQCGAKcA+wAYARUBRAFVAU0BvQEUAi4CVgIVAh4CVgKKAqICbQKRAr4CzgL8AuEChQKZAuAC+QIEA94CaQJqAqQClQK4ArMCgAJuApQCPALrARUCAQIsAjkC6AG0AagBngGNAZ8BagEVAS4BCAHFAMsAnQCLAIQAJADe/6H/gP+N/2D/I//M/nD+Q/4h/vr9yv10/fr8yfyw/K78s/w5/OP7svub+477c/sy+/D6NfsR+2/7kfsx+zP7Gfsn+2L7BvwL/Gr8aPxl/PL84vxd/QX+VP6M/vD+pP41/6b/zP/kABIBXwGPAYcBpQHIAW4CuAJaAxAEtwNqA2MDTQONA24EpgTiBLsEEwQ6BB8EQgRjBGMEkwStBG0EHATTAz0EewQmBDcEmANeA30D2AMVBAwEfQPmAhYD/gKXA5ADQwMOA1MC0wF3AdgBCQL2AcsBYQGrABMAhP/o/uX+of5T/uP9Z/3b/En8GvxU+9z6svoX+sv5fPkt+bP4gfjc+OX4cfjx90r3iffh+Ij4zfgt+XX45fia+ZX5wfkl+xX7ovtb/On7ffzT/I39tv7R/07/df9MACYAGwF3AcwBzgJiA3cDXgMEA64DvgT7BBgFEgX4BMUEQQWdBawFowWcBX8FsgWkBYMFqwU0BTkFDAUMBUIFZgVtBW8FBwWXBHsEhwQeBd4EEAXWBFsFAwXWA4IEOQTVBHoF4QSgAzoDJAMxA2cEiANmAh0C9wDiANsANACQ/4r+If6d/Z38v/u2+7f69Pnq+Hn33PdN9wT3/faD9T/0/POA9FL
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" Your browser does not support the audio element.\n",
" </audio>\n",
" "
],
"text/plain": [
"<IPython.lib.display.Audio object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"image/png": "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"text/plain": [
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"<matplotlib.figure.Figure at 0x7fa6119ed2e8>"
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]
},
"metadata": {},
"output_type": "display_data"
}
],
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"source": [
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"sentence = \"Be a voice,not an echo .\" # 'echo' is not in training set. \n",
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"align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
]
},
{
"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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" > Run-time: 1.73301100730896\n"
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]
},
{
"data": {
"text/html": [
"\n",
" <audio controls=\"controls\" >\n",
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" <source src=\"data:audio/wav;base64,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" Your browser does not support the audio element.\n",
" </audio>\n",
" "
],
"text/plain": [
"<IPython.lib.display.Audio object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"image/png": "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"text/plain": [
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"<matplotlib.figure.Figure at 0x7fa620209630>"
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]
},
"metadata": {},
"output_type": "display_data"
}
],
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"source": [
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"sentence = \"The human voice is the most perfect instrument of all .\"\n",
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"align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
]
},
{
"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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" > Run-time: 1.6868164539337158\n"
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]
},
{
"data": {
"text/html": [
"\n",
" <audio controls=\"controls\" >\n",
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" <source src=\"data:audio/wav;base64,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" Your browser does not support the audio element.\n",
" </audio>\n",
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],
"text/plain": [
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]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
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"<matplotlib.figure.Figure at 0x7fa611c4a208>"
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]
},
"metadata": {},
"output_type": "display_data"
}
],
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"source": [
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"sentence = \"I'm sorry Dave. I'm afraid I can't do that .\"\n",
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"align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
]
},
{
"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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" > Run-time: 1.9654321670532227\n"
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]
},
{
"data": {
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"\n",
" <audio controls=\"controls\" >\n",
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" <source src=\"data:audio/wav;base64,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" Your browser does not support the audio element.\n",
" </audio>\n",
" "
],
"text/plain": [
"<IPython.lib.display.Audio object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"image/png": "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"text/plain": [
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"<matplotlib.figure.Figure at 0x7fa61f8711d0>"
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]
},
"metadata": {},
"output_type": "display_data"
}
],
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"source": [
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"sentence = \"This cake is great. It's so delicious and moist .\"\n",
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"align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Comparison with https://keithito.github.io/audio-samples/"
]
},
{
"cell_type": "code",
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"execution_count": 10,
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"metadata": {},
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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" > Run-time: 2.2104315757751465\n"
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]
},
{
"data": {
"text/html": [
"\n",
" <audio controls=\"controls\" >\n",
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"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
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"<matplotlib.figure.Figure at 0x7fa610548be0>"
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]
},
"metadata": {},
"output_type": "display_data"
}
],
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"source": [
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"sentence = \"Generative adversarial network or variational auto-encoder .\"\n",
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"align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
]
},
{
"cell_type": "code",
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"execution_count": 11,
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"metadata": {},
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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" > Run-time: 2.23041033744812\n"
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]
},
{
"data": {
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],
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},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"image/png": "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"text/plain": [
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"<matplotlib.figure.Figure at 0x7fa611ce9588>"
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]
},
"metadata": {},
"output_type": "display_data"
}
],
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"source": [
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"sentence = \"Scientists at the CERN laboratory say they have discovered a new particle .\"\n",
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"align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
]
},
{
"cell_type": "code",
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"execution_count": 12,
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"metadata": {},
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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" > Run-time: 2.7539637088775635\n"
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]
},
{
"data": {
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" <audio controls=\"controls\" >\n",
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" <source src=\"data:audio/wav;base64,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" Your browser does not support the audio element.\n",
" </audio>\n",
" "
],
"text/plain": [
"<IPython.lib.display.Audio object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"image/png": "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"text/plain": [
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"<matplotlib.figure.Figure at 0x7fa611928eb8>"
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]
},
"metadata": {},
"output_type": "display_data"
}
],
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"source": [
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"sentence = \"Here’
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"align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
]
},
{
"cell_type": "code",
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"execution_count": 13,
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"metadata": {},
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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" > Run-time: 1.8690578937530518\n"
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]
},
{
"data": {
"text/html": [
"\n",
" <audio controls=\"controls\" >\n",
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" <source src=\"data:audio/wav;base64,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" Your browser does not support the audio element.\n",
" </audio>\n",
" "
],
"text/plain": [
"<IPython.lib.display.Audio object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"image/png": "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"text/plain": [
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"<matplotlib.figure.Figure at 0x7fa6119e9d30>"
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]
},
"metadata": {},
"output_type": "display_data"
}
],
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"source": [
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"sentence = \"President Trump met with other leaders at the Group of 20 conference .\"\n",
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"align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
]
},
{
"cell_type": "code",
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"execution_count": 14,
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"metadata": {},
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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" > Run-time: 2.0317394733428955\n"
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]
},
{
"data": {
"text/html": [
"\n",
" <audio controls=\"controls\" >\n",
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" <source src=\"data:audio/wav;base64,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" Your browser does not support the audio element.\n",
" </audio>\n",
" "
],
"text/plain": [
"<IPython.lib.display.Audio object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"image/png": "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"text/plain": [
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"<matplotlib.figure.Figure at 0x7fa611823668>"
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]
},
"metadata": {},
"output_type": "display_data"
}
],
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"source": [
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"sentence = \"The buses aren't the problem, they actually provide a solution .\"\n",
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"align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
]
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},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Comparison with https://google.github.io/tacotron/publications/tacotron/index.html"
]
},
{
"cell_type": "code",
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"execution_count": 15,
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"metadata": {},
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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" > Run-time: 2.1623528003692627\n"
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]
},
{
"data": {
"text/html": [
"\n",
" <audio controls=\"controls\" >\n",
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],
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"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
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"<matplotlib.figure.Figure at 0x7fa6117c2908>"
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]
},
"metadata": {},
"output_type": "display_data"
}
],
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"source": [
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"sentence = \"Generative adversarial network or variational auto-encoder .\"\n",
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"align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
]
},
{
"cell_type": "code",
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"execution_count": 16,
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"metadata": {},
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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" > Run-time: 2.260375738143921\n"
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]
},
{
"data": {
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"\n",
" <audio controls=\"controls\" >\n",
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" Your browser does not support the audio element.\n",
" </audio>\n",
" "
],
"text/plain": [
"<IPython.lib.display.Audio object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
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"<matplotlib.figure.Figure at 0x7fa611c9e908>"
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]
},
"metadata": {},
"output_type": "display_data"
}
],
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"source": [
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"sentence = \"Basilar membrane and otolaryngology are not auto-correlations .\"\n",
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"align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
]
},
{
"cell_type": "code",
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"execution_count": 17,
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"metadata": {},
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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" > Run-time: 0.9136154651641846\n"
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]
},
{
"data": {
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"\n",
" <audio controls=\"controls\" >\n",
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" <source src=\"data:audio/wav;base64,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" Your browser does not support the audio element.\n",
" </audio>\n",
" "
],
"text/plain": [
"<IPython.lib.display.Audio object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"image/png": "iVBORw0KGgoAAAANSUhEUgAABHgAAAa4CAYAAAD7hW7eAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAIABJREFUeJzs3Xu0bndZH/rvk01IlItcopgbBiSoKWqgm4BHD4iAidRjdNRSsCpVJNZCjwKjFbEFRC2iAt6QdqspsceKSBVSjEZuFmm5BUmBBJBtBEmIQAAhKAay13P+WG9wscl6V5K91/zNufL5MObY7zvnXPv3bMZcY8AzvvP5VXcHAAAAgOU6ZnQBAAAAABwZDR4AAACAhdPgAQAAAFg4DR4AAACAhdPgAQAAAFg4DR4AAACAhdPgAQAAgAWoqvOr6kNV9Y5trldV/VJVHayqt1XV/aaukXE0eAAAAGAZXpjknDXXvyXJ6avjvCQvmKAmZkKDBwAAABagu1+b5KNrbjk3yW/2pjckuVNVnThNdYx2m9EFzMFt67g+PrcbXQYAALDH1L59gxauIct+6tC1+fTGp8YsvovOfsjt+iMfPbTr67zlbdddluTvt5w60N0HbsZfcXKS92/5fuXq3NVHoTxmToMnyfG5XR5QDx1dBgAAsMfsu+MXjVn4uOOGLPv6a353yLq77SMfPZQ3XXz3XV9n34nv+fvu3r/rC7EneUULAAAA9oarkpy65fspq3PcCmjwAAAAwBqdZGOC/xwFFyb53tVuWg9M8vHu9nrWrYRXtAAAAGABquq3k3xjkhOq6sokT09ybJJ0939KclGSRyQ5mOTvknzfmEoZQYMHAAAA1uoc6qOSsDmyKrofvcP1TvL4icphZhb7ilZVHV9Vb6qq/1NVl1XVT6zO36Oq3lhVB6vqd6rqtqNrBQAAANhNi23wJLkuyTd199cmOTPJOat3DJ+d5Hndfa8kH0vy2IE1AgAAsHCbM3h61w84Eott8PSmT66+Hrs6Osk3JXnJ6vwFSb59QHkAAAAAk1n0DJ6q2pfkLUnuleT5Sf4iyd909/WrW65McvI2P3tekvOS5Ph84e4XCwAAwGIdpV2uYNcsNsGTJN19qLvPTHJKkrOSfOXN+NkD3b2/u/cfm+N2rUYAAACA3bboBM8Nuvtvquo1Sb4uyZ2q6jarFM8pSa4aWx0AAABL1ukcajNymLfFJniq6our6k6rz1+Q5OFJ3pnkNUm+c3XbY5K8bEyFAAAAANNYcoLnxCQXrObwHJPkxd398qq6PMmLquqnkrw1yW+MLBIAAIDls8sVc7fYBk93vy3JfW/k/BXZnMcDAAAAcKuw2AYPAAAATKGTHJLgYeYWO4MHAAAAgE0SPAAAALvk0Mc/MWTdY772q4asm4/v3f+LaQYPcyfBAwAAALBwe7e9CgAAAEdBJznUEjzMmwQPAAAAwMJJ8AAAAMAONkYXADuQ4AEAAABYOAkeAAAAWKPTOWQXLWZOggcAAABg4SR4AAAAYJ1ODgnwMHMSPAAAAAALJ8EDAAAAa3TsosX8SfAAAAAALJwEDwAAAKxVOZQaXQSsJcEDAAAAsHASPAAAALBGJ9mwixYzJ8EDAAAAsHAaPAAAAAAL5xUtAABgGjVmSO2Zfzbu3ZrH3/VPh6z7nz5yaMi6b/uuTw1ZdwqGLDN3EjwAAAAACyfBAwAAAGt0JHiYPwkeAAAAgIWT4AEAAIAdbLQED/MmwQMAAACwcBI8AAAAsIYZPCyBBA8AAADAwknwAAAAwBqdyiH5CGbOEwoAAACwcBI8AAAAsAO7aDF3EjwAAAAACyfBAwAAAGvYRYslkOABAAAAWDgJHgAAAFircqjlI5g3TygAAADAwknwAAAAwBqdZEM+gpnT4AEAACZx0ZVvGbLuwx/zuCHrJsnjXjls6SH+1lbiMIwGDwAAAOzALlrMnYwZAAAAwMJJ8AAAAMAa3XbRYv48oQAAAAALJ8EDAAAAO9gwg4eZk+ABAAAAWDgJHgAAAFijkxySj2DmPKEAAAAACyfBAwAAAGvZRYv584QCAAAALJwEDwAAAKzRSTbkI5g5TygAAADAwknwAAAAwA4OdY0uAdaS4AEAAABYOAkeAAAAWKNTOSQfwcxp8AAAwK3IxR+4dNjaZ590vyHrHpu3DFkXYEoaPAAAALCDjZbgYd48oQAAAAALJ8EDAAAAa3RiBg+z5wkFAAAAWDgJHgAAAFijUznUNboMWEuCBwAAAGDhJHgAAABgBxvyEcycJxQAAABg4SR4AAAAYI3u5FDLRzBvnlAAAACAhZPgAQAAgLUqG7GLFvMmwQMAAACwcBI8AAAAsEbHDB7mzxMKAAAAsHASPAAAALCDQ/IRzJwnFAAAAGDhJHgAALjV+qa3/+2wtX/0ru8Zsu7ZJ505ZF1Ysk5lo+2ixbxJ8AAAAAAsnAYPAAAAwMJ5RQsAAAB2YMgyc+cJBQAAAFg4CR4AAABYo5NstHwE87bYJ7SqTq2q11TV5VV1WVX98Or8M6rqqqq6dHU8YnStAAAAALtpyQme65M8ubv/rKrukOQtVfWK1bXndffPD6wNAACAPaNyKLZJZ94W2+Dp7quTXL36fG1VvTPJyWOrAgAAAJjeYl/R2qqqTkty3yRvXJ16QlW9rarOr6o7b/Mz51XVJVV1yWdy3USVAgAAsDQ3zODZ7QOOxOKfoKq6fZL/nuRHuvsTSV6Q5MuTnJnNhM9zbuznuvtAd+/v7v3H5rjJ6gUAAAA42hb7ilaSVNWx2Wzu/FZ3/16SdPcHt1z/tSQvH1QeAAAAe4QZPMzdYhM8VVVJfiPJO7v7uVvOn7jltu9I8o6pawMAAACY0pITPF+f5HuSvL2qLl2de2qSR1fVmdl8TfK9SX5wTHkAAADsBd1lRg6zt9gGT3e/LrnRjNxFU9cCAAAAMNJiGzwAAAAwlUMSPMycJxQAAABg4SR4AAAY6uDzHjhs7Y0f+vtha7/6dbcbtjZw83SSDbtoMXMSPAAAALAAVXVOVb27qg5W1VNu5Prdq+o1VfXWqnpbVT1iRJ2MIcEDAAAAa9XwGTxVtS/J85M8PMmVSd5cVRd29+Vbbvv3SV7c3S+oqjOyuQnRaZMXyxASPAAAADB/ZyU52N1XdPenk7woybmH3dNJ7rj6/EVJPjBhfQwmwQMAAABrdJKNnmQGzwlVdcmW7we6+8Dq88lJ3r/l2pVJHnDYzz8jyR9X1b9JcrskD9utQpkfDR4AAACYh2u6e/8R/Pyjk7ywu59TVV+X5L9W1X26e+Mo1ceMafAAAADADg6Nn3ByVZJTt3w/ZXVuq8cmOSdJuvv1VXV8khOSfGiSChlq+BMKAAAA7OjNSU6vqntU1W2TPCrJhYfd81dJHpokVfVVSY5P8uFJq2QYCR4AAABYo1NTzeDZvobu66vqCUkuTrIvyfndfVlVPTPJJd19YZInJ/m1qnpiNkcH/cvu7nFVMyUNHgAAAFiA7r4om1ufbz33tC2fL0/y9VPXxTxo8AAAAMAONkw4YeY8oQAAAAALJ8EDAAAAa3QnhwbP4IGdSPAAAAAALJwEDwAAAOxg9C5asBMJHgAAAICFk+ABAACANTqVjZaPYN40eAAASJJsPPi+Q9atjSHLJkmOed2l4xYHgKNIgwcAAAB2cChm8DBvMmYAAAAACyfBAwAAAGt07KLF/EnwAAAAACycBA8AAACsZRct5s8TCgAAALBwEjwAAACwgw27aDFzEjwAAAAACyfBAwAAAGt0J4fsosXMSfAAAAAALJwEDwAAAOzALlrMnScUAAAAYOEkeAAAAGCNTmXDDB5mToIHAAAAYOEkeAAAAGAHG5HgYd4keAAAAAAWToIHAGBG9t3pi4at/X//8uuHrHvM1xw/ZF2Am6oTM3iYPQkeAAAAgIWT4AEAAIAdbLR8BPPmCQUAAABYOA0eAAAAgIXzihYAAACs02XIMrMnwQMAAACwcBI8AAAAsEYn2YgED/MmwQMAAACwcBI8AAAAsAMzeJg7CR4AAACAhZPgAQAAgDU6EjzMnwQPAAAAwMJJ8AAAAMAOJHiYOwkeAAAAgIWT4AEAAIA1OiXBw+xJ8AAAAAAsnAQPADBbdZtx/1Plz5+zf8i6r/2Onx+ybpI89u7
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"text/plain": [
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"<matplotlib.figure.Figure at 0x7fa61f925668>"
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]
},
"metadata": {},
"output_type": "display_data"
}
],
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"source": [
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"sentence = \" He has read the whole thing .\"\n",
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"align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
]
},
{
"cell_type": "code",
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"execution_count": 18,
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"metadata": {},
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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" > Run-time: 0.658686637878418\n"
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]
},
{
"data": {
"text/html": [
"\n",
" <audio controls=\"controls\" >\n",
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" <source src=\"data:audio/wav;base64,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" Your browser does not support the audio element.\n",
" </audio>\n",
" "
],
"text/plain": [
"<IPython.lib.display.Audio object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"image/png": "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"text/plain": [
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"<matplotlib.figure.Figure at 0x7fa611f13a90>"
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]
},
"metadata": {},
"output_type": "display_data"
}
],
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"source": [
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"sentence = \"He reads books . \"\n",
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"align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
]
},
{
"cell_type": "code",
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"execution_count": 19,
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"metadata": {},
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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" > Run-time: 0.9634191989898682\n"
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]
},
{
"data": {
"text/html": [
"\n",
" <audio controls=\"controls\" >\n",
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" Your browser does not support the audio element.\n",
" </audio>\n",
" "
],
"text/plain": [
"<IPython.lib.display.Audio object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"image/png": "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"text/plain": [
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"<matplotlib.figure.Figure at 0x7fa611e1b278>"
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]
},
"metadata": {},
"output_type": "display_data"
}
],
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"source": [
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"sentence = \"Thisss isrealy awhsome . \"\n",
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"align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
]
},
{
"cell_type": "code",
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"execution_count": 20,
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"metadata": {},
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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" > Run-time: 1.5330486297607422\n"
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]
},
{
"data": {
"text/html": [
"\n",
" <audio controls=\"controls\" >\n",
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" <source src=\"data:audio/wav;base64,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" Your browser does not support the audio element.\n",
" </audio>\n",
" "
],
"text/plain": [
"<IPython.lib.display.Audio object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"image/png": "iVBORw0KGgoAAAANSUhEUgAABHgAAAa4CAYAAAD7hW7eAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAIABJREFUeJzs3Xu0bXdZH/zvkwMhhEshxGJOEkkoIEVoAw0BhBeQiydFXkhfLQUVUahRC60Kr4JYAUEEvICoSHuUSLRWDKlCSoOHWyjVckskckmwhHDLhYQ7QTAhZz/9Y6/g5nj2WjnZ66w55z6fzxhrnLXmnPs3n2SsM0b2k+98ftXdAQAAAGC6Dhu6AAAAAAC2RoMHAAAAYOI0eAAAAAAmToMHAAAAYOI0eAAAAAAmToMHAAAAYOI0eAAAAAAmToMHAAAAYOI0eAAAAAAm7mZDFzAGh9ct+ojcaugyAAAABlOHbf3//39t7Su5rv+ullDOqOz6rlv15z6/96Df54L3X7unu0896DdiW9LgSXJEbpX71cOHLgMAAGAwhx259f/p/a6vvmEJlYzP5z6/N+/Z820H/T47jvnI0Qf9JmxbGjwAAAAwRydZy9rQZcBcZvAAAAAATJwEDwAAAMzV2dsSPIybBA8AAADAxGnwAAAAAEycR7QAAABgjvUhyz10GTCXBA8AAADAxEnwAAAAwAK2SWfsJHgAAAAAJk6CBwAAYMLqZsv5te6Mi/dseY1HPepLS6hkfDqdvW0GD+MmwQMAAAAwcRI8AAAAsIBdtBg7CR4AAACAiZt8gqeqdiQ5P8nl3f3oqjoxyWuS3CHJBUme2N3XDVkjAAAA09VJ9krwMHLbIcHzk0ku3vD5JUle1t13SfKFJE8ZpCoAAACAFZl0g6eqjkvyPUl+b/a5kjwsydmzS85Mctow1QEAALBdrKUP+gu2YtINniS/keRnk6zNPt8hyRe7+/rZ58uSHDtEYQAAAACrMtkZPFX16CRXd/cFVfXQm/Dzpyc5PUmOyJFLrg4AAIDtopPsbQkbxm2yDZ4kD0zymKp6VJIjktw2ycuT3K6qbjZL8RyX5PL9/XB3706yO0luW0f5mwoAAABM1mQf0erun+vu47r7hCSPT/K27v6BJOcl+b7ZZU9K8vqBSgQAAGCbWFvBC7Zisg2eOZ6Z5OlVdUnWZ/K8auB6AAAAAA6qKT+i9Q3d/fYkb5+9vzTJKUPWAwAAwPbR6ey1yxUjty0aPAAAAIeq13/inUtZ5zHHP2TLa3xs75uWUAlwU2jwAAAAwDyd7BXgYeS24wweAAAAgEOKBA8AAADM0bHLFeMnwQMAAAAwcRI8AAAAMFdlb2roImAuCR4AAACAiZPgAQAAgDk6yZpdtBg5CR4AAACAiZPgAQAAgAXM4GHsJHgAAAAAJk6CBwAAAOboSPAwfho8AADAIeOw29xmKev82gfetOU1vuPwWy6hkmTXzvsuZZ1k75LWAYagwQMAAAALrLUED+NmBg8AAADAxEnwAAAAwBxm8DAFEjwAAAAAEyfBAwAAAHN0KnvlIxg531AAAACAiZPgAQAAgAXsosXYSfAAAAAATJwEDwAAAMxhFy2mQIIHAAAAYOIkeAAAAGCuyt6Wj2DcfEMBAAAAJk6CBwAA+AfqZsv5VeHPP3n+UtZZlqv3/u1S1vmR+/5/W17j+k9ftYRKWIVOsiYfwcj5hgIAAABMnAQPAAAALGAXLcZOggcAAABg4iR4AAAAYI5uu2gxfr6hAAAAABMnwQMAAAALrJnBw8hJ8AAAAABMnAYPAAAAwMR5RAsAAADm6CR75SMYOd9QAAAAgImT4AEAAIC5bJPO+GnwAADASOy54sKhS/iGa/vrS1ln1877LmWd8blq6AIAvokGDwAAAMzRSdZMOGHkfEMBAAAAJk6CBwAAABbY2zV0CTCXBA8AAADAxEnwAAAAwBydyl75CEbONxQAAABg4iR4AAAAYIG1lo9g3HxDAQAAACZOggcAAADm6MQMHkbPNxQAAABg4iR4AAAAYI5OZW/X0GXAXBI8AAAAABMnwQMAwCHrsFvdainrvPEjf7mUdXbtPGkp6wDLtyYfwcj5hgIAAABMnAQPAAAAzNGd7G35CMbNNxQAAABg4iab4KmqI5K8I8ktsv7PcXZ3P7eqXp3kIUm+NLv0h7v7wmGqBAAAYPoqa7GLFuM22QZPkmuTPKy7v1JVN0/yF1X1xtm5n+nuswesDQAAAGBlJtvg6e5O8pXZx5vPXj1cRQAAAGxHHTN4GL9Jf0OrakdVXZjk6iRv7u53z069sKreX1Uvq6pbbPKzp1fV+VV1/tdz7cpqBgAAAFi2STd4untvd5+U5Lgkp1TVPZP8XJK7J7lvkqOSPHOTn93d3Sd398k3z357QAAAAJAk2ZvDDvoLtmJbfIO6+4tJzktyandf2euuTfL7SU4ZtjoAAACAg2uyDZ6q+paqut3s/S2TPDLJh6vqmNmxSnJakg8OVyUAAABT16ms9cF/wVZMdshykmOSnFlVO7LeqDqru99QVW+rqm9JUkkuTPLjQxYJAAAAcLBNtsHT3e9Pcu/9HH/YAOUAALBChx155FLW+cMPv2kp6+za+cClrAOMlxk5jJ1vKAAAAMDETTbBAwAAAKvQSdZaPoJx8w0FAAAAmDgJHgAAAJirsjd2uWLcJHgAAAAAJk6CBwAAAOYwg4cp8A0FAAAAmDgJHgAAAFjADB7GToIHAAAAYOIkeAAAAGCO7jKDh9HzDQUAAACYOAkeAAAAWGCvBA8jp8EDAMDqvPW4pSzzX+921lLWefzxD1zKOgAwNA0eAAAAmKOTrNlFi5GTMQMAAIAJqKpTq+pvquqSqnrWfs5/W1WdV1Xvq6r3V9WjhqiTYUjwAAAAwFw1+AyeqtqR5BVJHpnksiTvrapzuvuiDZf9xyRndfcrq+oeSc5NcsLKi2UQEjwAAAAwfqckuaS7L+3u65K8Jslj97mmk9x29v4fJblihfUxMAkeAAAAmKOTrPVKZvAcXVXnb/i8u7t3z94fm+RTG85dluR++/z885K8qar+fZJbJXnEwSqU8dHgAQAAgHH4bHefvIWff0KSV3f3r1fVA5L8YVXds7vXllQfI6bBAwAAAAvsHX7CyeVJjt/w+bjZsY2ekuTUJOnud1bVEUmOTnL1SipkUIN/QwEAAICF3pvkrlV1YlUdnuTxSc7Z55pPJnl4klTVP01yRJLPrLRKBiPBAwAAAHN0alUzeDavofv6qnpakj1JdiQ5o7s/VFXPT3J+d5+T5BlJfreqfjrro4N+uLt7uKpZJQ0eAAAAmIDuPjfrW59vPPacDe8vSvLAVdfFOHhECwAAAGDiJHgAALa5j/7qA7a8xiU/8MolVJLc75lbryVJHv+H37mUdQBurDX5CEbONxQAAABg4iR4AAAAYI7uZO/AQ5ZhEQkeAAAAgImT4AEAAIAFht4mHRaR4AEAAACYOAkeAAAAmKNTWWv5CMbNNxQAAABg4iR4AAAAYIG9MYOHcZPgAQAAAJg4CR4AAACYo2MXLcZPggcAAABg4iR4AAAAYC67aDF+GjwAAMt22I6lLLPnsguWss6dz77fltfYtfOkJVSS3C7vXMo6AMA30+ABAACABdbsosXIyZgBAAAATJwEDwAAAMzRney1ixYjJ8EDAAAAMHESPAAAALCAXbQYO99QAAAAgImT4AEAAIA5OpU1M3gYOQkeAAAAgImT4AEAAIAF1iLBw7hJ8AAAAABMnAQPAAAAzNGJGTyMngYPAHCT1M22/p8Rdfe7LKGS5Gt3us1S1nnz7v+0lHWWZdfOf7GUde6ady9lHQBgvDR4AAAAYIG1NuGEcfMNBQAAAJg4CR4AAACYp8sMHkZvsgmeqjqiqt5TVX9dVR+qql+cHT+xqt5dVZdU1Z9U1eFD1woAAABwME22wZPk2iQP6+5/nuSkJKdW1f2TvCTJy7r7Lkm+kOQpA9YIAADAxHWStdRBf8FWTLbB0+u+Mvt489mrkzwsydmz42cmOW2A8gAAAABWZtIzeKpqR5ILktwlySuSfDTJF7v7+tkllyU5dpOfPT3J6UlyRI48+MUCAAAwWWbwMHaTTfAkSXfv7e6TkhyX5JQkdz+An93d3Sd398k3zy0
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"text/plain": [
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"<matplotlib.figure.Figure at 0x7fa611f54748>"
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]
},
"metadata": {},
"output_type": "display_data"
}
],
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"source": [
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"sentence = \"This is your internet browser, Firefox . \"\n",
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"align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
]
},
{
"cell_type": "code",
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"execution_count": 21,
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"metadata": {},
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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" > Run-time: 1.3301293849945068\n"
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]
},
{
"data": {
"text/html": [
"\n",
" <audio controls=\"controls\" >\n",
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" <source src=\"data:audio/wav;base64,UklGRujLAQBXQVZFZm10IBAAAAABAAEA8FUAAOCrAAACABAAZGF0YcTLAQAHABsAFAAKACEAIgAVABIABAD4/wIA/P/x/wYACQAAABQADQDz//z/7v/T/+f/8//z/wMABQALABIA+v/s/+3/5//o/+///f8EABsALgAGAPj/EwAIAAYABAD3/xwAKAAdADEAKQAoACwAFwAHAPr/CQAiACMAJwAWAA4AGgD2/+j/9f/h//P/9//N/9T/3//h//P/1v+w/7H/pv+2/93/zP/F/9b/2P/l/9P/vv/k/+z/7v8JAPX/8/8WACgAPgAqAAQAIQA1ACoAOQAzAEMAaQBLADQAMAAjAEAAVgBHADQAFgAkADoAGgAbACkAHgAXAAoA/P/t/+H/9v8GAPb/1v/I/97/4f/W/87/uP+s/7X/xv/V/8n/vf/H/9X/1v+7/7v/3P/i/+b/9P/n//f/GAABAPz/+v8BADEAKwAWABEACQAuAEQAOQBDADwAKQAXABUAKwBFAF4AUwA3AC0AJQA7AD4ADgAMABoAGgAjABAA+/8CAO//zv/A/6P/sf/f/8n/pP+l/5b/lf+i/3z/d/+g/47/nf+3/53/u//Q/6n/pv/G/+X/FwAaAOX/6f8HABQAYAB3AEYAcABbAC0AaABuAJUA2ACdAI0AkwCAAMAAywCeAJwAfwBvAJgAmACDAJYAewA+ADMAEgD//yoACgDW/83/pP+t/8r/jv+B/47/V/9A/x7/6/42/5D/p/+d/0j/7/7i/hz/Of9P/5j/nP+F/5j/Wf9Q/6f/ov+s/6T/af+v/xYARgBwAEUA8//2/wgAHwBSAHEAngDWAMAAnACkAIUAmwDDAGsAbAC0AMUAEQHzAIAAgwBrAFsAhABIAD4AcgBcAFQAUgBEAFwAXAD+/6j/kf+n/wkAUwBKADoABgCq/3v/XP9w/8X/3P/S/8z/qP+y/9H/sv+w/6j/hf+e/53/uv84AEsANQBCANn/8v8uANb/HQBGAC0ApQB4AB8ATwADAPz/JwDC/8r/9//T/+D/1v+i/4z/YP8V/+r+3f7p/gX/HP8F/9v+v/6S/oT+q/7T/gH/Ev/q/gD/J/9X/7D/y//c/woAAwAbAGIAfwDPAAwB+wASATQBUAGmAcMBpAG0AZgBjQHBAckB5AENAgUCCgICAuEB4QHeAdoB2wHIAcMB1gHYAdcBxgF2AUAB/ACxAKkAhABMADIAsP8v//3+dv47/hz+pP2B/WT94/yh/Fn8BPw8/HH8bfyM/Ij8avym/NH89PxV/aj9+f1b/pP+p/7r/kz/av+E/4v/Q/+b/w4AIAB9AFwA7f8QAOn/zf9IAFEAXQCVAEwAWwDfACoBmwH+AeEB3wETAkEC7QK+AxYEZQR6BHcE4gQrBVAFhAVgBUIFHgW2BLEEqASNBHwEogPAAisCWQELAaIAsv9e/+T+Jv7p/Tz9k/yJ/Ar8gftg+/H65fpH+y37O/uG+1j7T/uC+1/7vPtO/Eb8a/yg/JH86Pww/RT9Pv1Q/RX98fzk/A39hf3x/ev9iv0m/c78sPwD/WL91f1p/ov+hv7D/uL+X/8XAIAAPAEnAvoCFAQaBcYFkwYvB50HVggnCRgKPAv9C0AMOwzmC74LrguLCzoLiQqwCcAIqAeFBj8FyQNXArsA7/4Y/YL7N/ob+QL4q/ZI9VX0ePO88nfyGvI18tjyMfO884f0E/Us9oL3ePjV+Uv7kPw9/sf/7QBBAi4D6AOtBDIFvAU5Bp4G+wYDB44GsAWBBOEDjAPiAuEBUgD5/ib+YP1m/Fj7cfre+Vn5s/gw+BL4wPhv+bP56fkj+iD78fyZ/v7/ZwGuAl8EGwZUB7wIYAoqDL4Njg7+DqcPjBBlEU4ReBC4D+cORg5KDYoLCwrACN4GsgQhAnr/5f1u/F76Vfgo9k30Q/MS8sDw/O9770XvW+9D72nvRPBJ8UbyJPML9Hn1c/di+ef6JPxA/cb+YACpAcoCrQNwBFkF8QUYBm4GfwYnBrcF9wQ/BCQE2gO5AmQB7f+4/n3+Mf5f/cX8CvxA++X6ivpj+if7Efyl/Cr9cf0l/ur/4wGPA+oEmAVoBtAHcglTC0oNyg7nD1cQyw9cD24P9A+vEIEQCA9ZDboLEwrWCDgHKQV7Ax4BLf7l+5z58/cQ9y31MfOq8afvbu797Xnt/e2n7lnuY+6Q7v3unPBh8uPzpPUr91v43PlQ+9f85f7FAAMC5QKZA2YEkAWOBu8GDQcSB9kGjQbUBQcFnQQmBIwDlwJSAZoAPACJ/9/+3f3V/KH8ZPwu/LP8Vv0c/gf/Kf8l/w4ASAHVAqAEmQWvBoQIBwpuC+YMdA3rDbcOow6xDpQP2g8REP4PJQ5ZDPAKHAmuB3YGjQSQAr8AK/7w+2T6ePhu9m707vFN8OjvSe/77mvuce0w7RLtNu0y7lzvxPBC8tzy7/N99f32G/nb+iH82f1O/1wA+gFOA3gEpQXEBXYFuAX5BY4GLQeYBgcGPQUHBFsDmwLoAe0BcAFqAKP/tf6J/gj/AP+1/rv+0P6h/7YAgQGgAr0DywSyBZQGzweeCXkL3Qy3DfsNPg4eD58P9A9dEEsPlA4rDn0Mxgu3CikI1QbnBAACjwA4/ob7TvpQ+AL2dPRE8krwzu/a7rvtV+2M7Dzsoey87PjsFu5h77bwEfIS8+fzWvU89wX5Efvv/D7+jf8PAekBGQMrBIQEZwVWBpAG6wbVBvcF5QV2BYwEWAQLBKQDqQNPApQACgCR/9n/YgAeAE0A3wAgARkBPwEEAhkDEQWJBnYHZAn0CtkLtQyNDP0MGw9zEGwR1RHUEB4QYg/gDREN2QzmC3YKJAjKBEcCtgBd/k38cvqj97r14vNB8f7vNO9/7ZLsKesV6hbrn+v/62vsGeze7FPuJe9t8cnztPXa9w34QvjZ+lb9CgA4AsMBuAI8BJQEwgU4BkQGugepB24GzwXoBOsEjwXXBI4DhQJcAcwArQBGAM//IAAQAGMA3QDeAI8BUgJ3A7QE/gU/B78IqAqbDB8OGw/LD1MQjxF4EsoSJhPjEmESrBFSELoOew0gDAIKnwfJBKgBJP8Y/aL6CfiE9RDytO+Q7tDszOuO6qDoi+eR52Lnsecs6YPpderv61Xsu+3F8HPz4/Ub+Jb4v/nt/E//WwEBBJIEqQU+B+MGWQcbCTkJYwkWCaUGXAa/BkYGvgXrBJ0COAGeAPX+DP+q/6D/8f9oAGD/jv9SAB0BawNeBSkH7AiRCskLqw0dD90QexMLFJYUaRUCFf0VjxZ+FGETBhKyD/QO3wyzCZ0HbgRsAHT9/vlu9r70ufHk7iPto+qh6H7m4eSF4zDjDeQt5Arl8+aH54To9umx6mrtF/Hh84/2OPmk+3r+NQH5AiME3AViB6gIRgoNCywM9ww0DNgKdwhHB44H8gaTBlIEvAEyAUcASP8I/qL8dvx7/cP9+P2c/jwAywKYA+0DIgXFB18Muw/BEAYSMxS/FqsYtxjAF0kYhxlVGasX2xVEFGsTghI4DgoJhwS9AB3+mftU+Cn0ifF27jrqMufU49DhceKD4HzeFt643djgM+MU4/fjF+Vt51jryu1A8I/0pPid/G3/+wAxA60FtQiGChYLMA1mDokPchC8DaoL7gs0C/IKrgmGBe0DEwQNAhQAfv6Y/Br+Sf/i/P/7QfxL/SoBqwMKBM8GUwigCdAMMg8YEgsWoRhKGTkaABrgGVwb5RsxGvYXZxV5E9ASLRDKC0UH6gJv/9f65PSw8RnvBe3V6kPl/eAi4DnfDN1o2zLZmdkx3r3fCeBC4iHkcear6dHqsOwy9Ob6wf4JAvUCbANaB10J6glZDoER3BJfEv0PtAwXDTEOmQtlCu4I/wWiBFED9f/u/9T/Bv2R/Cv8qPvq/hkAfwD5A1kERAZuCWYKVg0sEeMTthhrHLgcgxxdGuMZmRtPHG0d0hzrGHgV3A89C7UKLAj2A47+bvcN8hzwHez/5wXmteJQ36/bJNej1uXaGNzO2rD
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" Your browser does not support the audio element.\n",
" </audio>\n",
" "
],
"text/plain": [
"<IPython.lib.display.Audio object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"image/png": "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"text/plain": [
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"<matplotlib.figure.Figure at 0x7fa611c060b8>"
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]
},
"metadata": {},
"output_type": "display_data"
}
],
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"source": [
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"sentence = \"This is your internet browser Firefox .\"\n",
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"align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
]
},
{
"cell_type": "code",
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"execution_count": 22,
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"metadata": {},
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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" > Run-time: 1.7637419700622559\n"
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]
},
{
"data": {
"text/html": [
"\n",
" <audio controls=\"controls\" >\n",
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" <source src=\"data:audio/wav;base64,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" Your browser does not support the audio element.\n",
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" "
],
"text/plain": [
"<IPython.lib.display.Audio object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
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"<matplotlib.figure.Figure at 0x7fa6118e22e8>"
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]
},
"metadata": {},
"output_type": "display_data"
}
],
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"source": [
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"sentence = \"The quick brown fox jumps over the lazy dog .\"\n",
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"align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
]
},
{
"cell_type": "code",
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"execution_count": 23,
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"metadata": {},
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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" > Run-time: 1.8867743015289307\n"
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]
},
{
"data": {
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"\n",
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"metadata": {},
"output_type": "display_data"
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{
"data": {
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"<matplotlib.figure.Figure at 0x7fa611c1bdd8>"
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]
},
"metadata": {},
"output_type": "display_data"
}
],
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"source": [
"sentence = \"Does the quick brown fox jump over the lazy dog?\"\n",
"align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
]
},
{
"cell_type": "code",
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"execution_count": 24,
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"metadata": {},
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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" > Run-time: 0.8504703044891357\n"
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]
},
{
"data": {
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" <audio controls=\"controls\" >\n",
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" <source src=\"data:audio/wav;base64,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" Your browser does not support the audio element.\n",
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],
"text/plain": [
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},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
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"<matplotlib.figure.Figure at 0x7fa611e11588>"
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]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sentence = \"Eren, how are you?\"\n",
"align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Hard Sentences"
]
},
{
"cell_type": "code",
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"execution_count": 25,
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"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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" > Run-time: 1.5988595485687256\n"
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]
},
{
"data": {
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"\n",
" <audio controls=\"controls\" >\n",
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" <source src=\"data:audio/wav;base64,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" Your browser does not support the audio element.\n",
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],
"text/plain": [
"<IPython.lib.display.Audio object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
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"<matplotlib.figure.Figure at 0x7fa6118166d8>"
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]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
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"sentence = \"Encouraged, he started with a minute a day .\"\n",
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"align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
]
},
{
"cell_type": "code",
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"execution_count": 26,
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"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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" > Run-time: 4.041731595993042\n"
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]
},
{
"data": {
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"\n",
" <audio controls=\"controls\" >\n",
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" <source src=\"data:audio/wav;base64,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" Your browser does not support the audio element.\n",
" </audio>\n",
" "
],
"text/plain": [
"<IPython.lib.display.Audio object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"image/png": "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"text/plain": [
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"<matplotlib.figure.Figure at 0x7fa611ebbf60>"
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]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
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"sentence = \"His meditation consisted of “body scanning” which involved focusing his mind and energy on each section of the body from head to toe .\"\n",
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"align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
]
},
{
"cell_type": "code",
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"execution_count": 27,
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"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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" > Run-time: 5.970228433609009\n"
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]
},
{
"data": {
"text/html": [
"\n",
" <audio controls=\"controls\" >\n",
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" Your browser does not support the audio element.\n",
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],
"text/plain": [
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]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"image/png": "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"text/plain": [
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"<matplotlib.figure.Figure at 0x7fa6103e58d0>"
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]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
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"sentence = \"Recent research at Harvard has shown meditating for as little as 8 weeks can actually increase the grey matter in the parts of the brain responsible for emotional regulation and learning . \"\n",
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"align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
]
},
{
"cell_type": "code",
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"execution_count": 28,
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"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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" > Run-time: 1.3996882438659668\n"
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]
},
{
"data": {
"text/html": [
"\n",
" <audio controls=\"controls\" >\n",
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" <source src=\"data:audio/wav;base64,UklGRiLsAQBXQVZFZm10IBAAAAABAAEA8FUAAOCrAAACABAAZGF0Yf7rAQABAAIAAgAEAAUABgAHAAgACQAJAAoACwALAAwACwALAAsACgALAAoACgAJAAcABgAFAAQABAADAAIAAQAAAP///f/9//3//P/8//v/+f/4//j/+P/4//j/+P/3//b/9v/2//b/9//4//n/+f/5//n/+v/8//7///8AAAAAAQACAAMABQAGAAcACAAJAAkACQAKAAsACwALAAsACwALAAoACQAJAAcABgAFAAMAAgABAAAA///9//z/+v/5//j/9//2//X/9f/0//P/8//z//T/9f/2//f/9//4//r/+//+/wAAAQADAAUABgAIAAoADAAOAA8AEAARABEAEQASABMAEwARABAADQALAAoACAAHAAQAAQD///v/+P/1//P/8v/w/+3/6v/o/+f/5v/n/+f/6P/o/+j/6f/r/+3/8f/0//f/+f/7//7/AAAEAAgACwANAA4AEAARABMAFQAWABYAFQAUABIAEQAPAA0ADAAJAAYAAwAAAP7//P/6//j/9//1//P/8v/x//D/8f/z//T/9v/3//j/+f/7//7/AQAFAAgACgALAAwADQAPABIAFQAXABgAFwAUABIAEAAPAA4ADQALAAkABQACAP7/+f/0//D/7v/t/+z/6v/l/+D/2v/X/9f/2f/d/+D/4f/f/93/3f/g/+j/8f/5////AQAEAAcADQAXACIALAA0ADkAPgBCAEUASgBQAFUAWABaAFkAVgBTAFAASwBFAD4ANgAuACUAGwAOAP//7//g/9T/yP+9/7D/of+R/4H/dP9r/2X/Yv9e/1j/Uf9L/0v/U/9f/2z/d/9//4b/k/+n/8D/3P/2/woAHAAuAEIAXQB5AJQAqgC8AMkA0wDaAOEA6wD0APkA+ADvAN8AzgC+AK4AngCLAHUAWwA/AB8A///g/8X/r/+c/4j/cP9W/z7/Lf8l/yT/J/8p/yv/Lf8z/z//Uv9r/4b/oP+4/9D/6f8EACMAQQBcAHMAhwCWAKUAswC9AMMAwQC2AKgAmQCLAHwAaABLACgAAQDd/7v/nf+B/2X/SP8p/wr/8P7e/tf+2P7d/uL+5v7t/gD/Hv9F/2//lv+8/+b/EwBGAH8AtwDrABUBNgFUAXMBmQHAAd4B6QHfAccBsAGiAZoBjQFxAT4B+wC2AHgARgAcAO//t/93/zL/9f7G/qb+j/54/l3+Q/4z/jP+Q/5a/nD+gP6R/qv+0f4F/zv/a/+S/7D/x//j/wUALQBVAHMAfgB8AHMAbgB0AHsAfAByAGAATwBDADwANAAoABwAFgAaACcANABCAE8AWgBkAHAAhACmANEA+QAYASMBHgEcASMBNAFNAVoBUwE/ARoB6gDBAJwAfQBmAD4ABADE/3v/OP8J/9/+tv6T/mn+Q/4p/hL+A/4D/gf+D/4h/jn+Xf6T/sn++v4p/1H/fv+//wsAWACiANUA9QASAS0BTgF3AZgBqgGvAaEBjgF4AVgBLwEFAeEAuwCVAF0AFgDX/5n/Y/82/wX/1v6+/qv+mf6L/mn+T/5W/m3+nP7Y/gf/Mv9d/4H/s//8/04AtAAbAW4BsAHbAQQCPAKEAtMCGAM9A0IDLgMOAwED+gLuAs8ChAIbAq0BPQHfAIkAHQCX//z+Tv6u/TH9wvxl/P77dPvl+nD6Hfr0+ef53fnp+f35Dfot+mz62fp4+yn80/x+/S3+6f7A/6cAkQF4Al4DQgQlBfcFlwYkB7AHOgi4CAwJKQksCR0J5wiaCCUImQcIB2EGlgWcBH8DXAJfAX8AlP9r/hH9wPu8+gr6bfm5+OT3Fvdz9gv21vXY9QX2Tvae9tj2E/d59yr4N/l1+o37dPw7/QP+Ff9XAJIBwgLGA5cEZwUqBtAGfgcFCFgIsAjoCPUI8wi3CEoI4gdYB7IGJAaDBcYE+AP2AuIBBQEzAGf/q/7C/eH8K/yD+w/7wfpL+tT5dvkv+Ub5h/m5+e/5LPpa+p36BvuO+1f8N/3a/Ur+wP5M//7/zgB4AQYCqwIoA5AD/gNKBJcEAgVFBVIFWwU0BSQFTAUxBdEEXATZA4YDXgPXAicCmAEGAZUAFgBa/6b+G/6Z/Sn9uPwo/K37Wvsn++76lvpA+hj6TfqY+rj6u/q++u36TfvF+0f84fx4/f/9gP71/m3//v+0AI8BYQL2Ak4DhwPyA4AEDgV9Ba0FuQXQBeoFAgYBBqUFNQXQBIEEbwQ2BKAD5gIHAiwBpAA+AN//rP8v/07+cf2q/F/8lfzc/M38fPwm/PH7EvyL/A39hf0a/mj+n/7x/jr/vv+eAFQBrgHpAesBIQJzAmQCGALgAfcBBgLDATYBawCi//z+HP46/fv8sPw2/Lz7pfqH+Q35tfjH+Ff5UPkG+TT5d/kA+tf6N/u4+/z8P/5Y/4sAZwFJApcDpASdBdEG1AeQCLEJgQrqCmwLOwv2ChEL5AqpCr4KRwqCCaYIKgfDBY8ECgP5AXYBuQAFAKr+nPza+ln5PvgW+D/4lfjE+Cz4APfO9Rz1g/VS9zz55/pf++/6n/rA+tz7p/2b/2wBrAKlAnICBwIMAiEDFgS2BDMF0gTFA8UCEAHN/1f/y/5o/hf+G/3U+wn6ZPde9Y/0H/W+9mn41/j/9/P13PPd84z2R/v9/+ACFQMQAloBUgJ8BUEKNQ/CEmcUXxN6EXMQYREJFL4W9RcXF2MVqxJ/D4oM2wl8CCUIhAcpBZ4Bsfz092P1MvMF8jHxIvCN7wXvNO2w6h7p0Oj66nnuyPHy88X0y/SU9M31vviO/FwBZAUMB08HWgZeBQUHmQmPCzUNbQxoCrYIIwcPBtoFpQRfAfz9wvru+BX5LPnS93P11/FR7QzrMuu17ZrxtvPB86vyt/HP8ST0avix/rsEQAimCQcK5gsEEDkVqxk4Hd0egx/XHy4gSCFBIjQifiCcHfIZ+BbCFEES6g4xCkEEhP+y+2n3NPPQ7k7r7emO6D3lfOFn3hndpN7o4H/i2OMS5WrmHeh76vvszvA99s/7n/+3AV4CjgM7B98L/Q/WEd4RgBAVECoRlxHDEM0Pug0lCx0JNAWUAQUAyP2W+r33rfN78DHv4+2I7NPrLOpi6NroWepk7J3uOfB98UT1N/mh/PcAygRvCZYOlhJKFckYAxyBH+Ui4iQRJ4Io6CjgJ5wmviSfIjYgJR23GQUWRxIGDQYIYwPD/Wj4NPVw8Efs1ekN5XPiGOED3hfc79wI3CDcB97R3Vrg2uOW5J3mvepk7HPwPfUv97r7Nv8oAOAC0gXJBl0JtwszDBEOKg5gDIwM8gvVCtUJDwgWBq8E6gKNABz/qPwS+0z5iPfL9nn2hPbH9vb29PV99cb2hfk9/HL/OwGlAtwFcAh6CgoOMBA7En4WshjYGuYcJx1kHYwe4h2YHHYcchtjGpkY3hTqEIQOaQszCPkE5QBr/bP5SPUU8krvi+zt6kzoluXa403iuOGd4obiXOJV40bkmuVR50jod+nN7Y7wgPIi9g33Uvmt/A39qv7vAVMD1QQ9CNoHwAdACZsGqAaPCMEHtgeUCHIGJQUSBO0AdAAMAREB2ACWAHH/Mv6D/WD9vv1V/z0B3wHuAsgDfgN+BCsHjAi2Cr4M8AwYD+0QahGdEqESrRJPE6oTnhOfEyAUuhJgEF0O0gtGCksKYAjXBQ0EnP8z/cr7c/jJ94n2cPNc8S7vO+0g7UTsWevb67/qfeqF6s7pFetZ7FHtmO7C70rwZfFG80b1gPdx+DP5IPos+4n9yv6o/xgCTgLiAqwCIQKsA7QEYgVwBQoF+QMCBXME6gMCBRQERASfBNADVAPYA8sEFwU/BRoFEgXKBYgGWwdxB5gI+whOCcEJfApkC3QLIgyRCx8M6gvzCwUMAgwgDH8LTwo/CMUHsAbzBvMGfgUJBLQB5P6r/Yj8lPur/Ez7JvmU+A/2v/M09L3yp/JT89LyM/JM8lbyNvHl8dLwzPFi8+3zJPXh9V/
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" Your browser does not support the audio element.\n",
" </audio>\n",
" "
],
"text/plain": [
"<IPython.lib.display.Audio object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"image/png": "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"text/plain": [
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"<matplotlib.figure.Figure at 0x7fa611eb6b00>"
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]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
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"sentence = \"If he decided to watch TV he really watched it .\"\n",
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"align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
]
},
{
"cell_type": "code",
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"execution_count": 29,
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"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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" > Run-time: 3.3970282077789307\n"
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]
},
{
"data": {
"text/html": [
"\n",
" <audio controls=\"controls\" >\n",
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" <source src=\"data:audio/wav;base64,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" Your browser does not support the audio element.\n",
" </audio>\n",
" "
],
"text/plain": [
"<IPython.lib.display.Audio object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"image/png": "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"text/plain": [
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"<matplotlib.figure.Figure at 0x7fa611da6240>"
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]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
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"sentence = \"Often we try to bring about change through sheer effort and we put all of our energy into a new initiative .\"\n",
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"align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
]
},
{
"cell_type": "code",
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"execution_count": 30,
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"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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" adding: benchmark_samples/Basilar_membrane_and_otolaryngology_are_not_auto-correlations_.wav (deflated 15%)\n",
" adding: benchmark_samples/Be_a_voice,not_an_echo_.wav (deflated 22%)\n",
" adding: benchmark_samples/Does_the_quick_brown_fox_jump_over_the_lazy_dog?.wav (deflated 17%)\n",
" adding: benchmark_samples/Encouraged,_he_started_with_a_minute_a_day_.wav (deflated 29%)\n",
" adding: benchmark_samples/Eren,_how_are_you?.wav (deflated 20%)\n",
" adding: benchmark_samples/Generative_adversarial_network_or_variational_auto-encoder_.wav (deflated 13%)\n",
" adding: benchmark_samples/He_reads_books__.wav (deflated 17%)\n",
" adding: benchmark_samples/Here’
" adding: benchmark_samples/His_meditation_consisted_of_“body_scanning”_which_involved_focusing_his_mind_and_energy_on_each_section_of_the_body_from_head_to_toe_.wav (deflated 16%)\n",
" adding: benchmark_samples/I'm_sorry_Dave_I'm_afraid_I_can't_do_that_.wav (deflated 24%)\n",
" adding: benchmark_samples/If_he_decided_to_watch_TV_he_really_watched_it_.wav (deflated 17%)\n",
" adding: benchmark_samples/It_took_me_quite_a_long_time_to_develop_a_voice,_and_now_that_I_have_it_I'm_not_going_to_be_silent_.wav (deflated 15%)\n",
" adding: benchmark_samples/Often_we_try_to_bring_about_change_through_sheer_effort_and_we_put_all_of_our_energy_into_a_new_initiative_.wav (deflated 14%)\n",
" adding: benchmark_samples/President_Trump_met_with_other_leaders_at_the_Group_of_20_conference_.wav (deflated 18%)\n",
" adding: benchmark_samples/Recent_research_at_Harvard_has_shown_meditating_for_as_little_as_8_weeks_can_actually_increase_the_grey_matter_in_the_parts_of_the_brain_responsible_for_emotional_regulation_and_learning__.wav (deflated 16%)\n",
" adding: benchmark_samples/Scientists_at_the_CERN_laboratory_say_they_have_discovered_a_new_particle_.wav (deflated 14%)\n",
" adding: benchmark_samples/The_buses_aren't_the_problem,_they_actually_provide_a_solution_.wav (deflated 16%)\n",
" adding: benchmark_samples/The_human_voice_is_the_most_perfect_instrument_of_all_.wav (deflated 12%)\n",
" adding: benchmark_samples/The_quick_brown_fox_jumps_over_the_lazy_dog_.wav (deflated 18%)\n",
" adding: benchmark_samples/This_cake_is_great_It's_so_delicious_and_moist_.wav (deflated 28%)\n",
" adding: benchmark_samples/This_is_your_internet_browser,_Firefox__.wav (deflated 21%)\n",
" adding: benchmark_samples/This_is_your_internet_browser_Firefox_.wav (deflated 19%)\n",
" adding: benchmark_samples/Thisss_isrealy_awhsome__.wav (deflated 20%)\n",
" adding: benchmark_samples/_He_has_read_the_whole_thing_.wav (deflated 18%)\n"
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]
}
],
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"source": [
"!zip benchmark_samples/samples.zip benchmark_samples/*"
]
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}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
