Medix-AI/coqui-tts
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coqui-tts
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config edit

This commit is contained in:
Eren Golge 2019-11-05 17:08:15 +01:00
parent c13e7f483a
commit 8040ccc3b0
1 changed files with 2 additions and 2 deletions
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config.json
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@ -39,6 +39,7 @@
"eval_batch_size":16,
"r": 7, // Number of decoder frames to predict per iteration. Set the initial values if gradual training is enabled.
"gradual_training": [[0, 7, 64], [1, 5, 64], [50000, 3, 32], [130000, 2, 16], [290000, 1, 8]], // ONLY TACOTRON - set gradual training steps [first_step, r, batch_size]. If it is null, gradual training is disabled.
"loss_masking": true, // enable / disable loss masking against the sequence padding.
// VALIDATION
"run_eval": true,
@ -66,8 +67,6 @@
"transition_agent": false, // enable/disable transition agent of forward attention.
"location_attn": true, // enable_disable location sensitive attention. It is enabled for TACOTRON by default.
"bidirectional_decoder": false, // use https://arxiv.org/abs/1907.09006. Use it, if attention does not work well with your dataset.
"loss_masking": true, // enable / disable loss masking against the sequence padding.
"enable_eos_bos_chars": false, // enable/disable beginning of sentence and end of sentence chars.
// STOPNET
"stopnet": true, // Train stopnet predicting the end of synthesis.
@ -81,6 +80,7 @@
// DATA LOADING
"text_cleaner": "phoneme_cleaners",
"enable_eos_bos_chars": false, // enable/disable beginning of sentence and end of sentence chars.
"num_loader_workers": 4, // number of training data loader processes. Don't set it too big. 4-8 are good values.
"num_val_loader_workers": 4, // number of evaluation data loader processes.
"batch_group_size": 0, //Number of batches to shuffle after bucketing.