| | |
| | | from funasr.models.e2e_asr_contextual_paraformer import NeatContextualParaformer |
| | | from funasr.export.models.e2e_asr_paraformer import Paraformer as Paraformer_export |
| | | from funasr.utils.timestamp_tools import ts_prediction_lfr6_standard |
| | | from funasr.bin.tp_inference import SpeechText2Timestamp |
| | | from funasr.bin.tp_infer import Speech2Timestamp |
| | | from funasr.bin.vad_inference import Speech2VadSegment |
| | | from funasr.bin.punctuation_infer import Text2Punc |
| | | from funasr.bin.punc_infer import Text2Punc |
| | | from funasr.utils.vad_utils import slice_padding_fbank |
| | | from funasr.tasks.vad import VADTask |
| | | |
| | | from funasr.utils.timestamp_tools import time_stamp_sentence, ts_prediction_lfr6_standard |
| | | |
| | | |
| | |
| | | |
| | | # 1. Build ASR model |
| | | scorers = {} |
| | | from funasr.tasks.asr import ASRTaskParaformer as ASRTask |
| | | asr_model, asr_train_args = ASRTask.build_model_from_file( |
| | | asr_train_config, asr_model_file, cmvn_file, device |
| | | ) |