A SPEECH VOICEBAND DATA DISCRIMINATOR

This paper treats the problem of distinguishing speech from voiceband data. It presents a discrimination function based upon the sign of the autocorrelation at lag two of the incoming signal and the second-orde r moment of the complex low-pass signal. The algorithm has been applie d to many types of voiceband data signals and, within a window of 32 m s, correctly classifies them. For the limited number of speech signals available, the amount of misclassification of speech as voiceband dat a was observed to be about 1%.