Abstract
This paper proposes a discrimination algorithm, which discriminates speech and data on a multiplexed input signal. Commercial communication networks may use single voice band channel for transmission of both speech and data. Also, for optimum utilization of channel, the pauses in voice signal are being utilized. At receiver side the speech and data should be separately extracted, in order to send information to the respective users. For above mentioned to happen with least error, sufficient measures are to be taken for identifying the type of the signal. The speech/data discriminator is the solution for above mentioned problem. This algorithm may also be useful in the analysis of intercepted signal, where speech/data discrimination may be performed to make sure that whether the communication channel carries data or voice. After discrimination, voice will be sent to voice codec and data to the data decoder for extraction of intelligence. In this paper we proposed a simple and low complexity algorithm for speech/data discrimination based on two parameters namely short time energy and zero crossing rates. This algorithm can serve the above two purposes and gives good results in discriminating between speech and data. Keywords - Discrimination, intercepted signal, intelligence extraction.
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