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update test config

pull/422/head
Eren Gölge 2021-04-08 13:18:03 +02:00
parent 006b1d3aaa
commit a7fb49843b
1 changed files with 10 additions and 3 deletions
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13
tests/inputs/test_vocoder_multiband_melgan_config.json
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@ -13,10 +13,12 @@
// Audio processing parameters
"sample_rate": 22050, // 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.log10",
"do_sound_norm": true,
// 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
@ -31,7 +33,7 @@
"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]
"clip_norm": true, // clip normalized values into the range.
"stats_path": null // DO NOT USE WITH MULTI_SPEAKER MODEL. scaler stats file computed by 'compute_statistics.py'. If it is defined, mean-std based notmalization is used and other normalization params are ignored
"stats_path": null
},
// DISTRIBUTED TRAINING
@ -126,6 +128,11 @@
"wd": 0.0, // Weight decay weight.
"gen_clip_grad": -1, // Generator gradient clipping threshold. Apply gradient clipping if > 0
"disc_clip_grad": -1, // Discriminator gradient clipping threshold.
"optimizer": "AdamW",
"optimizer_params":{
"betas": [0.8, 0.99],
"weight_decay": 0.0
},
"lr_scheduler_gen": "MultiStepLR", // one of the schedulers from https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
"lr_scheduler_gen_params": {
"gamma": 0.5,