Sound Processing in Software : Since amplitude and frequency are insufficient to adequately represent the sound signals we obtained, we use MFCC coefficients which gave us a feature vector. The MFCC coefficients basically give us a higher number of features for each sound sample, extracted from its frequency and amplitude.
The mel-frequency cepstrum (MFC) is a representation of the short-term power spectrum of a sound, based on a linear cosine transform of a log power spectrum on a nonlinear mel scale of frequency. Having these coefficients extracted from the FFTs helped us to represent audio sounds effectively and be able to classify them.
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