funasr/bin/asr_inference_launch.py
@@ -867,7 +867,10 @@ try: raw_inputs = torchaudio.load(data_path_and_name_and_type[0])[0][0] except: raw_inputs = torch.tensor(soundfile.read(data_path_and_name_and_type[0])[0]) raw_inputs = soundfile.read(data_path_and_name_and_type[0], dtype='float32')[0] if raw_inputs.ndim == 2: raw_inputs = raw_inputs[:, 0] raw_inputs = torch.tensor(raw_inputs) if data_path_and_name_and_type is None and raw_inputs is not None: if isinstance(raw_inputs, np.ndarray): raw_inputs = torch.tensor(raw_inputs)
