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

In this paper 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 known parameters, extracted from the observed speech or data communication signal, with an analysis of the statistical moments associated to these parameters. In this way, the discrimination capability associated to the extracted parameters is enforced by, the moment analysis that better exploits the time-varying properties of the voice signal. Experimental results, that show the good behavior of the classifier in terms of probability of error with respect to SNR are reported and discussed