maskgct / egs /tts /VITS /exp_config.json
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{
"base_config": "config/vits.json",
"model_type": "VITS",
"dataset": [
"LJSpeech",
//"hifitts"
],
"dataset_path": {
// TODO: Fill in your dataset path
"LJSpeech": "[LJSpeech dataset path]",
//"hifitts": "[Hi-Fi TTS dataset path]
},
// TODO: Fill in the output log path. The default value is "Amphion/ckpts/tts"
"log_dir": "ckpts/tts",
"preprocess": {
//"extract_audio":true,
"use_phone": true,
// linguistic features
"extract_phone": true,
"phone_extractor": "espeak", // "espeak, pypinyin, pypinyin_initials_finals, lexicon (only for language=en-us right now)"
// TODO: Fill in the output data path. The default value is "Amphion/data"
"processed_dir": "data",
"sample_rate": 22050, // target sampling rate
"valid_file": "valid.json", // validation set
//"use_spkid": true // use speaker ID to train multi-speaker TTS model
},
"model":{
//"n_speakers": 10 // number of speakers, greater than or equal to the number of speakers in the dataset(s) used. The default value is 0 if not specified.
},
"train": {
"batch_size": 16,
//"multi_speaker_training": true
}
}