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mimic2
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Merge branch 'master' of https://github.com/MycroftAI/mimic2

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Michael Nguyen 2018-08-13 17:31:05 -05:00
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@ -40,32 +40,13 @@ Pull requests are welcome!
1. Install Python 3.
2. Install the latest version of [TensorFlow](https://www.tensorflow.org/install/) for your platform. For better
performance, install with GPU support if it's available. This code works with TensorFlow 1.3 or 1.4.
performance, install with GPU support if it's available. This code has been tested on tensorflow 1.8.
3. Install requirements:
```
pip install -r requirements.txt
```
### Using a pre-trained model
**NOTE this model will only work if you switch out the LocationSensitiveAttention layer for the BahdanauAttention layer in tacotron.py
1. **Download and unpack a model**:
```
curl http://data.keithito.com/data/speech/tacotron-20170720.tar.bz2 | tar xjC /tmp
```
2. **Run the demo server**:
```
python3 demo_server.py --checkpoint /tmp/tacotron-20170720/model.ckpt
```
3. **Point your browser at localhost:3000**
* Type what you want to synthesize
### Training
*Note: you need at least 40GB of free disk space to train a model.*
@ -120,7 +101,9 @@ Pull requests are welcome!
Tunable hyperparameters are found in [hparams.py](hparams.py). You can adjust these at the command
line using the `--hparams` flag, for example `--hparams="batch_size=16,outputs_per_step=2"`.
Hyperparameters should generally be set to the same values at both training and eval time.
Hyperparameters should generally be set to the same values at both training and eval time. I highly recommend
setting the params in the hparams.py file to gurantee consistentcy during preprocessing, training, evaluating,
and running the demo server.
5. **Monitor with Tensorboard** (optional)
@ -136,7 +119,7 @@ Pull requests are welcome!
python3 demo_server.py --checkpoint ~/tacotron/logs-tacotron/model.ckpt-185000
```
Replace "185000" with the checkpoint number that you want to use, then open a browser
to `localhost:9000` and type what you want to speak. Alternately, you can
to `localhost:3000` and type what you want to speak. Alternately, you can
run [eval.py](eval.py) at the command line:
```
python3 eval.py --checkpoint ~/tacotron/logs-tacotron/model.ckpt-185000