paddlespeech.t2s.exps.transformer_tts.preprocess module

paddlespeech.t2s.exps.transformer_tts.preprocess.get_input_token(sentence, output_path)[source]

get phone set from training data and save it

Args:

sentence (Dict): sentence: {'utt': ([char], str)} output_path (str or path): path to save phone_id_map

paddlespeech.t2s.exps.transformer_tts.preprocess.get_lj_sentences(file_name, frontend)[source]

read MFA duration.txt

Args:

file_name (str or Path)

Returns:

Dict: sentence: {'utt': ([char], [int])}

paddlespeech.t2s.exps.transformer_tts.preprocess.get_spk_id_map(speaker_set, output_path)[source]
paddlespeech.t2s.exps.transformer_tts.preprocess.main()[source]
paddlespeech.t2s.exps.transformer_tts.preprocess.process_sentence(config: Dict[str, Any], fp: Path, sentences: Dict, output_dir: Path, mel_extractor=None)[source]
paddlespeech.t2s.exps.transformer_tts.preprocess.process_sentences(config, fps: List[Path], sentences: Dict, output_dir: Path, mel_extractor=None, nprocs: int = 1)[source]