pyhon machine learning/data mining for pattern data finding

A have some problems in my audio network (I work with IP audio) - from time to time I have a short gaps in my audio stream. I have a logger which record all the streams. I've write small script with python and ffmpeg (and borrowed some JavaScript for visualizing :)) to find the gaps in logger mp3 files. It's better than nothing but I have a lot of false detections - it's quite annoying to to check all the results manually - script finds from 20 to 200 gaps per hour and usually only 1-10 gaps caused by some fault - all others are short term low audio level in songs, speech, etc. I'm looking for high level machine learning/data mining mechanism to check the gaps automatically to leave only what I want. I can provide a lot of "true" gaps (array with data) and "false" gaps to teach the machine and after that want just to feed it with data stamp with gap inside to compare does it look like a "true" gap or not. What can you recommend for the fastest solution? Note that Python is the only thing I can write a little. :/