I am attempting to preprocess audiofiles to be used in a neural net with soundfile.read(), but the function is formatting the returned data differently for different .FLAC files with the same sample rate and length. For example, calling data, sr = soundfile.read(audiofile1) produced an array with shape data.shape = (48000, 2) (where individual element values were either the amplitude, 0, or the negative amplitude in NumPy float64), while calling data, sr = soundfile.read(audiofile2) produced an array with shape data.shape = (48000,) (where individual element values were varied NumPy float64). Also, if it helps, audiofile1 was a recording taken from a recording taken via PyAudio, whereas audiofile2 was a sample from the LibriSpeech corpus. So, my question is twofold: Why is soundfile.read() producing two different data formats, and how do I ensure that the function returns the arrays in the same format in the future? Continue reading...
