Audio Signal Discrimination Using Evolutionary Spectrum
2009; Taylor & Francis; Volume: 31; Issue: 2 Linguagem: Inglês
10.1080/1206212x.2009.11441926
ISSN1925-7074
Autores Tópico(s)Animal Vocal Communication and Behavior
ResumoAbstractIn this paper, a joint-distribution algorithm, mainly, the evolutionary spectrum (ES) for audio signal discrimination is proposed and discussed. The purpose of audio signal discrimination is to build two different libraries: speech library and music library, from a stream of sounds. In general, the classification algorithms can be divided into three approaches: time-domain, frequency-domain, and time—frequency domain approaches. The first two approaches were discussed thoroughly in literature; however, the third approach has not yet been tested thoroughly for this type of discrimination. As audio signals are considered non-stationary, in general, the time or frequency-domain approach alone may fail in reflecting the time-varying behaviour of such signals correctly. Therefore, in this paper, the ES is proposed to solve this type of classification problem. To show the effectiveness of the proposed algorithm, some simulation and comparisons with classical methods are done, where the Colombia SMD database is used.Key Words: Audio signal discriminationjoint-distributionevolutionary spectrum Additional informationNotes on contributorsA. I. Al-ShoshanAbdullah I. Al-Shoshan received his M.S. and Ph.D. degrees in Electrical Engineering from the University of Pittsburgh, Pittsburgh, PA, USA,in1991 and1995, respectively. In 1996, he joined the faculty of Computer Engineering DepartmentatKing Saud University. Currently, he is a professor and Dean of the College of Computer at Qassim University, Saudi Arabia. His research interests are in artificial intelligence, statistical signal processing, time–frequency analysis, non-stationary signal modelling, system identification, speech and image processing, wavelets analysis, and neural networks. He is a member of IEEE, ISCA, IAMCM, and SCS.
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