Speech/voice-band data classification for data traffic measurements in telephone-type systems

A noise-insensitive technique for the discrimination between speech and voice-band data transmissions over a telephone-type system is presented. The proposed procedure combines together the evaluation of some meaningful parameters extracted from the observed speech or data communication signal, with an analysis of the statistical moments associated with these parameters. In this way, the discrimination capability associated with the extracted parameters is enforced by the moment analysis that better exploits the time-varying properties of speech signals. Experimental results, that show the good behavior of the classifier in terms of probability of error with respect to signal-to-noise ratio, are reported and discussed.