[ot][spam][crazy] Quickly autotranscribing xkcd 4/1 correctly

[Undiscussed Horrific Abuse, One Victim of Many]

Unlike soundfile, librosa.read already does resampling:

Help on function load in module librosa.core.audio:

load(path, *, sr=22050, mono=True, offset=0.0, duration=None,
dtype=<class 'numpy.float32'>, res_type='kaiser_best')
    Load an audio file as a floating point time series.

    Audio will be automatically resampled to the given rate
    (default ``sr=22050``).

    To preserve the native sampling rate of the file, use ``sr=None``.

    Parameters
    ----------
    path : string, int, pathlib.Path, soundfile.SoundFile or file-like object
        path to the input file.

        Any codec supported by `soundfile` or `audioread` will work.

        Any string file paths, or any object implementing Python's
        file interface (e.g. `pathlib.Path`) are supported as `path`.

        If the codec is supported by `soundfile`, then `path` can also be
        an open file descriptor (int) or an existing
`soundfile.SoundFile` object.

        On the contrary, if the codec is not supported by `soundfile`
        (for example, MP3), then `path` must be a file path (string or
`pathlib.Path`).

    sr : number > 0 [scalar]
        target sampling rate

        'None' uses the native sampling rate

    mono : bool
        convert signal to mono

    offset : float
        start reading after this time (in seconds)

    duration : float
        only load up to this much audio (in seconds)

    dtype : numeric type
        data type of ``y``

    res_type : str
        resample type (see note)

        .. note::
            By default, this uses `resampy`'s high-quality mode ('kaiser_best').

            For alternative resampling modes, see `resample`

        .. note::
           `audioread` may truncate the precision of the audio data to 16 bits.

           See :ref:`ioformats` for alternate loading methods.

    Returns
    -------
    y : np.ndarray [shape=(n,) or (..., n)]
        audio time series. Multi-channel is supported.
    sr : number > 0 [scalar]
        sampling rate of ``y``

    Examples
    --------
    >>> # Load an ogg vorbis file
    >>> filename = librosa.ex('trumpet')
    >>> y, sr = librosa.load(filename)
    >>> y
    array([-1.407e-03, -4.461e-04, ..., -3.042e-05,  1.277e-05],
          dtype=float32)
    >>> sr
    22050