Computing the “signal to noise” ratio of an audio file is pretty simple if it’s already a wav file – if not, I suggest you convert it to one first.
If you’re doing a lot of these, this can take up a lot of disk space – I’m doing audio lectures, which are on average 30mb mp3s. I’ve found it helpful to think about trying to write scripts that you can ctrl-c and re-run.
One minor note here is that audio files are typically one or two channels (left-right), so you can potentially have two values for signal-to-noise. You should be able to add these together without issue, if you wish to get one value.
This does  on the wavfile data, as  has the sample rate.
import scipy.io.wavfile as wavfile import numpy import os.path def snr(file): if (os.path.isfile(file)): data = wavfile.read(fileWav) singleChannel = data try: singleChannel = numpy.sum(data, axis=1) except: # was mono after all pass norm = singleChannel / (max(numpy.amax(singleChannel), -1 * numpy.amin(singleChannel))) return stats.signaltonoise(norm)