 True, the signals first window is
            zero padded. Centering is required for a perfect
            reconstruction of the signal. However, during training
            of spectrogram models, it can safely turned off.
            Defaults to `true`
        length (int, optional): audio signal length to crop the signal
    Returns:
        x (Tensor): audio waveform of
            shape (nb_samples, nb_channels, nb_timesteps)
    &#34;&#34;&#34;

    def __init__(
        self,
        n_fft: int = 409