mirror of https://github.com/coqui-ai/TTS.git
config update
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erogol
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{
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"model": "Tacotron2",
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"run_name": "ljspeech-ddc-bn",
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"run_description": "tacotron2 with ddc and batch-normalization",
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"run_name": "ljspeech-ddc",
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"run_description": "tacotron2 with DDC and differential spectral loss.",
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// AUDIO PARAMETERS
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"audio":{
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// MelSpectrogram parameters
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"num_mels": 80, // size of the mel spec frame.
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"mel_fmin": 0.0, // minimum freq level for mel-spec. ~50 for male and ~95 for female voices. Tune for dataset!!
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"mel_fmax": 8000.0, // maximum freq level for mel-spec. Tune for dataset!!
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"spec_gain": 20.0,
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"mel_fmin": 50.0, // minimum freq level for mel-spec. ~50 for male and ~95 for female voices. Tune for dataset!!
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"mel_fmax": 7600.0, // maximum freq level for mel-spec. Tune for dataset!!
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"spec_gain": 1,
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// Normalization parameters
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"signal_norm": true, // normalize spec values. Mean-Var normalization if 'stats_path' is defined otherwise range normalization defined by the other params.
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"symmetric_norm": true, // move normalization to range [-1, 1]
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"max_norm": 4.0, // scale normalization to range [-max_norm, max_norm] or [0, max_norm]
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"clip_norm": true, // clip normalized values into the range.
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"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
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"stats_path": "/home/erogol/Data/LJSpeech-1.1/scale_stats.npy" // 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
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},
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// VOCABULARY PARAMETERS
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// TACOTRON PRENET
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"memory_size": -1, // ONLY TACOTRON - size of the memory queue used fro storing last decoder predictions for auto-regression. If < 0, memory queue is disabled and decoder only uses the last prediction frame.
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"prenet_type": "bn", // "original" or "bn".
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"prenet_type": "original", // "original" or "bn".
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"prenet_dropout": false, // enable/disable dropout at prenet.
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// TACOTRON ATTENTION
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"enable_eos_bos_chars": false, // enable/disable beginning of sentence and end of sentence chars.
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"num_loader_workers": 4, // number of training data loader processes. Don't set it too big. 4-8 are good values.
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"num_val_loader_workers": 4, // number of evaluation data loader processes.
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"batch_group_size": 0, //Number of batches to shuffle after bucketing.
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"batch_group_size": 4, //Number of batches to shuffle after bucketing.
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"min_seq_len": 6, // DATASET-RELATED: minimum text length to use in training
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"max_seq_len": 153, // DATASET-RELATED: maximum text length
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// PATHS
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"output_path": "../../Mozilla-TTS/vctk-test/",
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"output_path": "/home/erogol/Models/LJSpeech/",
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// PHONEMES
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"phoneme_cache_path": "../../Mozilla-TTS/vctk-test/", // phoneme computation is slow, therefore, it caches results in the given folder.
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"phoneme_cache_path": "/home/erogol/Models/phoneme_cache/", // phoneme computation is slow, therefore, it caches results in the given folder.
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"use_phonemes": true, // use phonemes instead of raw characters. It is suggested for better pronounciation.
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"phoneme_language": "en-us", // depending on your target language, pick one from https://github.com/bootphon/phonemizer#languages
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// MULTI-SPEAKER and GST
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"use_speaker_embedding": true, // use speaker embedding to enable multi-speaker learning.
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"use_speaker_embedding": false, // use speaker embedding to enable multi-speaker learning.
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"use_gst": false, // use global style tokens
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"use_external_speaker_embedding_file": false, // if true, forces the model to use external embedding per sample instead of nn.embeddings, that is, it supports external embeddings such as those used at: https://arxiv.org/abs /1806.04558
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"external_speaker_embedding_file": "../../speakers-vctk-en.json", // if not null and use_external_speaker_embedding_file is true, it is used to load a specific embedding file and thus uses these embeddings instead of nn.embeddings, that is, it supports external embeddings such as those used at: https://arxiv.org/abs /1806.04558
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"use_gst": true, // use global style tokens
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"gst": { // gst parameter if gst is enabled
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"gst_style_input": null, // Condition the style input either on a
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// -> wave file [path to wave] or
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"datasets": // List of datasets. They all merged and they get different speaker_ids.
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[
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{
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"name": "vctk",
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"path": "../../../datasets/VCTK-Corpus-removed-silence/",
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"meta_file_train": ["p225", "p234", "p238", "p245", "p248", "p261", "p294", "p302", "p326", "p335", "p347"], // for vtck if list, ignore speakers id in list for train, its useful for test cloning with new speakers
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"name": "ljspeech",
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"path": "/home/erogol/Data/LJSpeech-1.1/",
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"meta_file_train": "metadata.csv", // for vtck if list, ignore speakers id in list for train, its useful for test cloning with new speakers
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"meta_file_val": null
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}
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]
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