reiddraper / acousticfeatures

Python module for extracting acoustic features from audio files.

Welcome to the source page for my University of Miami MMI 505 project. With millions of sound recordings now available at the click of a mouse, the ability to find music in useful ways that go beyond a traditional textual metadata search, is becoming increasingly important and viable. My project was to write a Python module that extracts low-level acoustic features from an audio file (.wav or .mp3) on a frame-by-frame basis and computes meta-features based on these vectors.

Use like this:

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from acousticfeatures import *
x = FeatureExtractor('White_Noise.wav') #can read .wav or .mp3
x.process_frames()
feature_dict = x.return_features()

feature_dict now contains a dictionary with entries for each of the features. The implemented features are: Mean and Standard deviation for these time vectors: RMS, Spectrum Centroid, Spectrum Spread, Spectrum Skewness, Spectrum Kurtosis and Zero Crossings.

$ hg clone http://bitbucket.org/reiddraper/acousticfeatures/wiki/

This revision is from 2009-07-02 18:49