ABSTRACT:
The purpose of
this project is to study the feasibility of a music classification system based
on music content using a neural network. A 1.5 second audio file stored in WAV
format is passed to a feature extraction function. The WAV format for digital
audio is simply the left and right stereo signal samples. The feature
extraction function calculates 124 numerical features that characterize the
sample. When training the system, this feature extraction process is performed
on many different input WAV files to create a matrix of column feature vectors.
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