def random_subsample(wav: np.ndarray, max_length: float, sample_rate: int = 16000):
    """Randomly sample chunks of `max_length` seconds from the input audio"""
    sample_length = int(round(sample_rate * max_length))
    if len(wav) <= sample_length:
        return wav
    random_offset = randint(0, len(wav) - sample_length - 1)
    return wav[random_offset : random_offset + sample_length]
Randomly sample chunks of `max_length` seconds from the input audio
dpkd/transformers/examples/pytorch/audio-classification/run_audio_classification.py