calib set

游雁

2023-03-15 9f5c42c476463e801d3de4bfeb2aefdd04f5691d

 funasr/export/export_model.py

@@ -148,7 +148,7 @@
        feats = []
        feats_len = []
        for line in wav_list:
            name, path = line.strip().split()
            path = line.strip()
            waveform, sampling_rate = torchaudio.load(path)
            if sampling_rate != self.frontend.fs:
                waveform = torchaudio.transforms.Resample(orig_freq=sampling_rate,
@@ -184,6 +184,7 @@
        model, asr_train_args = ASRTask.build_model_from_file(
            asr_train_config, asr_model_file, cmvn_file, 'cpu'
        )
        self.frontend = model.frontend
        self._export(model, tag_name)