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update hifigan config

This commit is contained in:
Eren Gölge 2021-04-06 11:01:21 +02:00
parent e0e3b12b26
commit 4a5b1d4ac2
1 changed files with 27 additions and 12 deletions
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39
TTS/vocoder/configs/modified_hifigan.json
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@ -11,12 +11,13 @@
"frame_shift_ms": null, // stft window hop-lengh in ms. If null, 'hop_length' is used.
// Audio processing parameters
"sample_rate": 22050, // DATASET-RELATED: wav sample-rate. If different than the original data, it is resampled.
"sample_rate": 16000, // DATASET-RELATED: wav sample-rate. If different than the original data, it is resampled.
"preemphasis": 0.0, // pre-emphasis to reduce spec noise and make it more structured. If 0.0, no -pre-emphasis.
"ref_level_db": 0, // reference level db, theoretically 20db is the sound of air.
"ref_level_db": 20, // reference level db, theoretically 20db is the sound of air.
"log_func": "np.log",
// Silence trimming
"do_trim_silence": true,// 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.
// MelSpectrogram parameters
@ -26,7 +27,7 @@
"spec_gain": 1.0, // scaler value appplied after log transform of spectrogram.
// Normalization parameters
"signal_norm": true, // normalize spec values. Mean-Var normalization if 'stats_path' is defined otherwise range normalization defined by the other params.
"signal_norm": false, // normalize spec values. Mean-Var normalization if 'stats_path' is defined otherwise range normalization defined by the other params.
"min_level_db": -100, // lower bound for normalization
"symmetric_norm": true, // move normalization to range [-1, 1]
"max_norm": 4.0, // scale normalization to range [-max_norm, max_norm] or [0, max_norm]
@ -44,24 +45,37 @@
"use_pqmf": false,
// LOSS PARAMETERS
"use_stft_loss": true,
"use_stft_loss": false,
"use_subband_stft_loss": false,
"use_mse_gan_loss": true,
"use_hinge_gan_loss": false,
"use_feat_match_loss": true, // use only with melgan discriminators
"use_l1_spec_loss": true,
// loss weights
"stft_loss_weight": 45,
"stft_loss_weight": 0,
"subband_stft_loss_weight": 0,
"mse_G_loss_weight": 1,
"hinge_G_loss_weight": 0,
"feat_match_loss_weight": 10,
"l1_spec_loss_weight": 45,
// multiscale stft loss parameters
"stft_loss_params": {
"n_ffts": [1024, 2048, 512],
"hop_lengths": [120, 240, 50],
"win_lengths": [600, 1200, 240]
// "stft_loss_params": {
// "n_ffts": [1024, 2048, 512],
// "hop_lengths": [120, 240, 50],
// "win_lengths": [600, 1200, 240]
// },
"l1_spec_loss_params": {
"use_mel": true,
"sample_rate": 16000,
"n_fft": 1024,
"hop_length": 256,
"win_length": 1024,
"n_mels": 80,
"mel_fmin": 0.0,
"mel_fmax": null
},
"target_loss": "avg_G_loss", // loss value to pick the best model to save after each epoch
@ -89,8 +103,9 @@
// DATASET
"data_path": "/home/erogol/gdrive/Datasets/non-binary-voice-files/vo_voice_quality_transformation/",
"feature_path": "/home/erogol/gdrive/Datasets/non-binary-voice-files/tacotron-DCA/",
"seq_len": 16384,
"feature_path": null,
// "feature_path": "/home/erogol/gdrive/Datasets/non-binary-voice-files/tacotron-DCA/",
"seq_len": 8192,
"pad_short": 2000,
"conv_pad": 0,
"use_noise_augment": false,