{"id":5041,"date":"2016-09-12T00:48:55","date_gmt":"2016-09-12T00:48:55","guid":{"rendered":"http:\/\/www.garysieling.com\/blog\/?p=5041"},"modified":"2016-09-12T00:48:55","modified_gmt":"2016-09-12T00:48:55","slug":"compute-signal-noise-ratio-audio-files-python","status":"publish","type":"post","link":"https:\/\/www.garysieling.com\/blog\/compute-signal-noise-ratio-audio-files-python\/","title":{"rendered":"Compute the Signal To Noise ratio in audio files in Python"},"content":{"rendered":"

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<\/a> first.<\/p>\n

If you’re doing a lot of these, this can take up a lot of disk space – I’m doing audio lectures<\/a>, 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.<\/p>\n

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.<\/p>\n

This does [1] on the wavfile data, as [0] has the sample rate.<\/p>\n

\nimport scipy.io.wavfile as wavfile\nimport numpy\nimport os.path\n\ndef snr(file):\n  if (os.path.isfile(file)):\n    data = wavfile.read(fileWav)[1]\n    singleChannel = data\n    try:\n      singleChannel = numpy.sum(data, axis=1)\n    except:\n      # was mono after all\n      pass\n      \n    norm = singleChannel \/ (max(numpy.amax(singleChannel), -1 * numpy.amin(singleChannel)))\n    return stats.signaltonoise(norm)\n<\/pre>\n","protected":false},"excerpt":{"rendered":"
How to compute the signal-to-noise ratio in audio files in Python<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[12],"tags":[178,447],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t