| | |
| | | for i in range(total_chunk_num): |
| | | speech_chunk = speech[i*chunk_stride:(i+1)*chunk_stride] |
| | | is_final = i == total_chunk_num - 1 |
| | | res = model(input=speech_chunk, |
| | | cache=cache, |
| | | is_final=is_final, |
| | | chunk_size=chunk_size, |
| | | encoder_chunk_look_back=encoder_chunk_look_back, |
| | | decoder_chunk_look_back=decoder_chunk_look_back, |
| | | ) |
| | | res = model(input=speech_chunk, cache=cache, is_final=is_final, chunk_size=chunk_size, encoder_chunk_look_back=encoder_chunk_look_back, decoder_chunk_look_back=decoder_chunk_look_back) |
| | | print(res) |
| | | ``` |
| | | |
| | |
| | | for i in range(total_chunk_num): |
| | | speech_chunk = speech[i*chunk_stride:(i+1)*chunk_stride] |
| | | is_final = i == total_chunk_num - 1 |
| | | res = model(input=speech_chunk, |
| | | cache=cache, |
| | | is_final=is_final, |
| | | chunk_size=chunk_size, |
| | | ) |
| | | res = model(input=speech_chunk, cache=cache, is_final=is_final, chunk_size=chunk_size) |
| | | if len(res[0]["value"]): |
| | | print(res) |
| | | ``` |
| | |
| | | |
| | | wav_file = f"{model.model_path}/example/asr_example.wav" |
| | | text_file = f"{model.model_path}/example/asr_example.wav" |
| | | res = model(input=(wav_file, text_file), |
| | | data_type=("sound", "text")) |
| | | res = model(input=(wav_file, text_file), data_type=("sound", "text")) |
| | | print(res) |
| | | ``` |
| | | 更多详细用法([示例](examples/industrial_data_pretraining)) |