Jeremy Bowers wrote: > No matter how you slice it, this is not a Python problem, this is an > intense voice recognition algorithm problem that would make a good > PhD thesis.
No, my goal is nothing relative to voice recognition. Sorry that I haven't described my question clearly. We are not teaching English, so the voice recognition isn't helpful here. I just want to compare two sound WAVE file, not what the students or the teacher really saying. For example, if the teacher recorded his "standard" pronouncation of "god", then the student saying "good" will get a higher score than the student saying "evil" ---- because "good" sounds more like "god". Yes, this not a Python problem, but I am a fan of Python and using Python to develop the other parts of the application (UI, sound play and record, grammer training, etc), so I ask here for available python module, and of cause, for any kindly suggestions unrelative to Python itself (like yours) too. I myself have tried using Python's standard audioop module, using the findfactor and rms functions. I try to use the value returned from rms(add(a, mul(b, -findfactor(a, b)))) as the score. But the result is not good. So I want to know if there is a human-voice optimized algorithm/library out there. -- http://mail.python.org/mailman/listinfo/python-list
