| | |
| | | return sentences |
| | | |
| | | |
| | | def build_preprocess(args): |
| | | if args.task_name == "asr": |
| | | pass |
| | | def build_preprocess(args, train): |
| | | if args.use_preprocessor: |
| | | return None |
| | | if args.task_name in ["asr", "data2vec", "diar", "sv"]: |
| | | retval = CommonPreprocessor( |
| | | train=train, |
| | | token_type=args.token_type, |
| | | token_list=args.token_list, |
| | | bpemodel=args.bpemodel, |
| | | non_linguistic_symbols=args.non_linguistic_symbols, |
| | | text_cleaner=args.cleaner, |
| | | g2p_type=args.g2p, |
| | | split_with_space=args.split_with_space if hasattr(args, "split_with_space") else False, |
| | | seg_dict_file=args.seg_dict_file if hasattr(args, "seg_dict_file") else None, |
| | | rir_scp=args.rir_scp if hasattr(args, "rir_scp") else None, |
| | | rir_apply_prob=args.rir_apply_prob if hasattr(args, "rir_apply_prob") else 1.0, |
| | | noise_scp=args.noise_scp if hasattr(args, "noise_scp") else None, |
| | | noise_apply_prob=args.noise_apply_prob if hasattr(args, "noise_apply_prob") else 1.0, |
| | | noise_db_range=args.noise_db_range if hasattr(args, "noise_db_range") else "13_15", |
| | | speech_volume_normalize=args.speech_volume_normalize if hasattr(args, "rir_scp") else None, |
| | | ) |
| | | elif args.task_name == "punc": |
| | | token_types = [args.token_type, args.token_type] |
| | | token_lists = [args.token_list, args.punc_list] |
| | | bpemodels = [args.bpemodel, args.bpemodel] |
| | | text_names = ["text", "punc"] |
| | | retval = PuncTrainTokenizerCommonPreprocessor( |
| | | train=train, |
| | | token_type=token_types, |
| | | token_list=token_lists, |
| | | bpemodel=bpemodels, |
| | | text_cleaner=args.cleaner, |
| | | g2p_type=args.g2p, |
| | | text_name=text_names, |
| | | non_linguistic_symbols=args.non_linguistic_symbols, |
| | | ) |
| | | elif args.task_name == "vad": |
| | | retval = None |
| | | else: |
| | | raise ValueError(f"Not supported task={args.task_name}") |
| | | return retval |