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A speech/voiceband data discriminator

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1 Author(s)
N. Benvenuto ; AT&T Bell Labs., Holmdel, NJ, USA

The problem of distinguishing speech from voiceband data is treated. A discrimination function based on the sign of the autocorrelation at lag two of the incoming signal and the second-order moment of the complex low-pass signal is presented. The algorithm has been applied to many types of voiceband data signals and, within a window of 32 ms, correctly classifies them. For the limited number of speech signals available, the amount of misclassification of speech as voiceband data was observed to be about 1%

Published in:

IEEE Transactions on Communications  (Volume:41 ,  Issue: 4 )