funasr/datasets/iterable_dataset.py
@@ -71,7 +71,10 @@ try: return torchaudio.load(input)[0].numpy() except: return np.expand_dims(soundfile.read(input)[0], axis=0) waveform, _ = soundfile.read(input, dtype='float32') if waveform.ndim == 2: waveform = waveform[:, 0] return np.expand_dims(waveform, axis=0) DATA_TYPES = { "sound": load_wav,
