| | |
| | | import librosa |
| | | import numpy as np |
| | | |
| | | from .utils import (CharTokenizer, Hypothesis, ONNXRuntimeError, |
| | | from .utils.utils import (CharTokenizer, Hypothesis, ONNXRuntimeError, |
| | | OrtInferSession, TokenIDConverter, WavFrontend, get_logger, |
| | | read_yaml) |
| | | from .postprocess_utils import sentence_postprocess |
| | | from .utils.postprocess_utils import sentence_postprocess |
| | | |
| | | logging = get_logger() |
| | | |
| | |
| | | # text = self.tokenizer.tokens2text(token) |
| | | return text |
| | | |
| | | |
| | | if __name__ == '__main__': |
| | | project_dir = Path(__file__).resolve().parent.parent |
| | | model_dir = "/home/zhifu.gzf/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch" |
| | | model = Paraformer(model_dir) |
| | | |
| | | wav_file = os.path.join(model_dir, 'example/asr_example.wav') |
| | | result = model(wav_file) |
| | | print(result) |
| | | |