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ABSTRACT: The conventional approach to audio processing, based on the short-time power spectrum model, is not adequate when it comes to general audio signals. We propose an approach, justified by studies from psycho-acoustics and neuroimaging, which uses the magnitude and frequency envelope of the audio signal in the from of AM-FM modulations to build an ARMA model which is then fed to a GMM to classify into various audio classes. We show that it makes explicit certain aspects of the signal which are overlooked when processing is limited to the spectral domain.
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on; 06/2011 · 4.63 Impact Factor
