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update speaker encoder config.json, for compatibility with the TTS model

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Edresson 2020-07-31 00:27:51 -03:00 committed by erogol
parent bc09ca8111
commit ac85ccae99
1 changed files with 27 additions and 22 deletions
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49
mozilla_voice_tts/speaker_encoder/config.json
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@ -1,24 +1,30 @@
{ {
"run_name": "libritts_360-half", "run_name": "libritts_100+360-angleproto",
"run_description": "train speaker encoder for libritts 360", "run_description": "train speaker encoder for libritts 100 and 360",
"audio": { "audio":{
// Audio processing parameters // Audio processing parameters
"num_mels": 40, // size of the mel spec frame. "num_mels": 80, // size of the mel spec frame.
"num_freq": 1025, // number of stft frequency levels. Size of the linear spectogram frame. "num_freq": 1024, // number of stft frequency levels. Size of the linear spectogram frame.
"sample_rate": 16000, // DATASET-RELATED: wav sample-rate. If different than the original data, it is resampled. "sample_rate": 22050, // DATASET-RELATED: wav sample-rate. If different than the original data, it is resampled.
"frame_length_ms": 50, // stft window length in ms. "win_length": 1024, // stft window length in ms.
"frame_shift_ms": 12.5, // stft window hop-lengh in ms. "hop_length": 256, // stft window hop-lengh in ms.
"preemphasis": 0.98, // pre-emphasis to reduce spec noise and make it more structured. If 0.0, no -pre-emphasis. "frame_length_ms": null, // stft window length in ms.If null, 'win_length' is used.
"min_level_db": -100, // normalization range "frame_shift_ms": null, // stft window hop-lengh in ms. If null, 'hop_length' is used.
"ref_level_db": 20, // reference level db, theoretically 20db is the sound of air. "preemphasis": 0.98, // pre-emphasis to reduce spec noise and make it more structured. If 0.0, no -pre-emphasis.
"min_level_db": -100, // normalization range
"ref_level_db": 20, // reference level db, theoretically 20db is the sound of air.
"power": 1.5, // value to sharpen wav signals after GL algorithm.
"griffin_lim_iters": 60,// #griffin-lim iterations. 30-60 is a good range. Larger the value, slower the generation.
// Normalization parameters // Normalization parameters
"signal_norm": true, // normalize the spec values in range [0, 1] "signal_norm": true, // normalize the spec values in range [0, 1]
"symmetric_norm": true, // move normalization to range [-1, 1] "symmetric_norm": true, // move normalization to range [-1, 1]
"max_norm": 4, // scale normalization to range [-max_norm, max_norm] or [0, max_norm] "max_norm": 4.0, // scale normalization to range [-max_norm, max_norm] or [0, max_norm]
"clip_norm": true, // clip normalized values into the range. "clip_norm": true, // clip normalized values into the range.
"mel_fmin": 0.0, // minimum freq level for mel-spec. ~50 for male and ~95 for female voices. Tune for dataset!! "mel_fmin": 0.0, // minimum freq level for mel-spec. ~50 for male and ~95 for female voices. Tune for dataset!!
"mel_fmax": 8000.0, // maximum freq level for mel-spec. Tune for dataset!! "mel_fmax": 8000.0, // maximum freq level for mel-spec. Tune for dataset!!
"do_trim_silence": false // enable trimming of slience of audio as you load it. LJspeech (false), TWEB (false), Nancy (true) "do_trim_silence": false, // enable trimming of slience of audio as you load it. LJspeech (false), TWEB (false), Nancy (true)
"trim_db": 60 // threshold for timming silence. Set this according to your dataset.
}, },
"reinit_layers": [], "reinit_layers": [],
"loss": "angleproto", // "ge2e" to use Generalized End-to-End loss and "angleproto" to use Angular Prototypical loss (new SOTA) "loss": "angleproto", // "ge2e" to use Generalized End-to-End loss and "angleproto" to use Angular Prototypical loss (new SOTA)
@ -34,10 +40,9 @@
"checkpoint": true, // If true, it saves checkpoints per "save_step" "checkpoint": true, // If true, it saves checkpoints per "save_step"
"save_step": 1000, // Number of training steps expected to save traning stats and checkpoints. "save_step": 1000, // Number of training steps expected to save traning stats and checkpoints.
"print_step": 1, // Number of steps to log traning on console. "print_step": 1, // Number of steps to log traning on console.
"output_path": "/media/erogol/data_ssd/Models/libri_tts/speaker_encoder/", // DATASET-RELATED: output path for all training outputs. "output_path": "../../checkpoints/libri_tts/speaker_encoder/", // DATASET-RELATED: output path for all training outputs.
"num_loader_workers": 0, // number of training data loader processes. Don't set it too big. 4-8 are good values.
"model": { "model": {
"input_dim": 40, "input_dim": 80, // input_dim == num_mels
"proj_dim": 128, "proj_dim": 128,
"lstm_dim": 384, "lstm_dim": 384,
"num_lstm_layers": 3 "num_lstm_layers": 3
@ -46,13 +51,13 @@
[ [
{ {
"name": "libri_tts", "name": "libri_tts",
"path": "/home/erogol/Data/Libri-TTS/train-clean-360/", "path": "../../datasets/LibriTTS/train-clean-360/",
"meta_file_train": null, "meta_file_train": null,
"meta_file_val": null "meta_file_val": null
}, },
{ {
"name": "libri_tts", "name": "libri_tts",
"path": "/home/erogol/Data/Libri-TTS/train-clean-100/", "path": "../../datasets/LibriTTS/train-clean-100/",
"meta_file_train": null, "meta_file_train": null,
"meta_file_val": null "meta_file_val": null
} }