mirror of https://github.com/coqui-ai/TTS.git
Update Bark Config
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695e862aad
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03c347b7f3
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@ -356,7 +356,7 @@ If you don't specify any models, then it uses LJSpeech based English model.
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vc_config_path = config_path
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# tts model with multiple files to be loaded from the directory path
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if isinstance(model_item["github_rls_url"], list):
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if isinstance(model_item["model_url"], list):
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model_dir = model_path
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tts_path = None
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tts_config_path = None
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@ -1,5 +1,5 @@
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import os
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from dataclasses import dataclass, field
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from dataclasses import dataclass
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from typing import Dict
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from TTS.tts.configs.shared_configs import BaseTTSConfig
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@ -11,6 +11,40 @@ from TTS.utils.generic_utils import get_user_data_dir
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@dataclass
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class BarkConfig(BaseTTSConfig):
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""" Bark TTS configuration
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Args:
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model (str): model name that registers the model.
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audio (BarkAudioConfig): audio configuration. Defaults to BarkAudioConfig().
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num_chars (int): number of characters in the alphabet. Defaults to 0.
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semantic_config (GPTConfig): semantic configuration. Defaults to GPTConfig().
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fine_config (FineGPTConfig): fine configuration. Defaults to FineGPTConfig().
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coarse_config (GPTConfig): coarse configuration. Defaults to GPTConfig().
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CONTEXT_WINDOW_SIZE (int): GPT context window size. Defaults to 1024.
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SEMANTIC_RATE_HZ (float): semantic tokens rate in Hz. Defaults to 49.9.
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SEMANTIC_VOCAB_SIZE (int): semantic vocabulary size. Defaults to 10_000.
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CODEBOOK_SIZE (int): encodec codebook size. Defaults to 1024.
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N_COARSE_CODEBOOKS (int): number of coarse codebooks. Defaults to 2.
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N_FINE_CODEBOOKS (int): number of fine codebooks. Defaults to 8.
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COARSE_RATE_HZ (int): coarse tokens rate in Hz. Defaults to 75.
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SAMPLE_RATE (int): sample rate. Defaults to 24_000.
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USE_SMALLER_MODELS (bool): use smaller models. Defaults to False.
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TEXT_ENCODING_OFFSET (int): text encoding offset. Defaults to 10_048.
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SEMANTIC_PAD_TOKEN (int): semantic pad token. Defaults to 10_000.
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TEXT_PAD_TOKEN ([type]): text pad token. Defaults to 10_048.
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TEXT_EOS_TOKEN ([type]): text end of sentence token. Defaults to 10_049.
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TEXT_SOS_TOKEN ([type]): text start of sentence token. Defaults to 10_050.
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SEMANTIC_INFER_TOKEN (int): semantic infer token. Defaults to 10_051.
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COARSE_SEMANTIC_PAD_TOKEN (int): coarse semantic pad token. Defaults to 12_048.
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COARSE_INFER_TOKEN (int): coarse infer token. Defaults to 12_050.
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REMOTE_BASE_URL ([type]): remote base url. Defaults to "https://huggingface.co/erogol/bark/tree".
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REMOTE_MODEL_PATHS (Dict): remote model paths. Defaults to None.
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LOCAL_MODEL_PATHS (Dict): local model paths. Defaults to None.
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SMALL_REMOTE_MODEL_PATHS (Dict): small remote model paths. Defaults to None.
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CACHE_DIR (str): local cache directory. Defaults to get_user_data_dir().
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DEF_SPEAKER_DIR (str): default speaker directory to stoke speaker values for voice cloning. Defaults to get_user_data_dir().
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"""
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model: str = "bark"
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audio: BarkAudioConfig = BarkAudioConfig()
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num_chars: int = 0
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@ -39,6 +73,7 @@ class BarkConfig(BaseTTSConfig):
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LOCAL_MODEL_PATHS: Dict = None
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SMALL_REMOTE_MODEL_PATHS: Dict = None
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CACHE_DIR: str = str(get_user_data_dir("tts/suno/bark_v0"))
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DEF_SPEAKER_DIR: str = str(get_user_data_dir("tts/bark_v0/speakers"))
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def __post_init__(self):
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self.REMOTE_MODEL_PATHS = {
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@ -67,4 +102,4 @@ class BarkConfig(BaseTTSConfig):
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"coarse": {"path": os.path.join(self.REMOTE_BASE_URL, "coarse.pt")},
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"fine": {"path": os.path.join(self.REMOTE_BASE_URL, "fine.pt")},
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}
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self.sample_rate = self.SAMPLE_RATE
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self.sample_rate = self.SAMPLE_RATE # pylint: disable=attribute-defined-outside-init
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