Audio Signal Discrimination Using Evolutionary Spectrum

In 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.