DocumentCode :
2151151
Title :
Audio signal classification with temporal envelopes
Author :
Altaf, M. Umair Bin ; Juang, Biing-Hwang
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fYear :
2011
fDate :
22-27 May 2011
Firstpage :
469
Lastpage :
472
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.
Keywords :
Gaussian processes; amplitude modulation; audio signal processing; autoregressive moving average processes; frequency modulation; signal classification; AM-FM modulation; ARMA model; GMM; Gaussian mixture model; audio signal classification; audio signal processing; frequency envelope; magnitude envelope; neuroimaging; psychoacoustics; short-time power spectrum model; temporal envelopes; Autoregressive processes; Brain modeling; Frequency modulation; Mel frequency cepstral coefficient; Psychoacoustic models; Speech; AM-FM Signal Models; Audio Classification; Audio Signal Processing; Temporal Features;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague
ISSN :
1520-6149
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2011.5946442
Filename :
5946442
Link To Document :
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