Abstract:
Voice Activity Detection (VAD) is used to detect the
presence of speech in an audio signal. VAD plays an important
role as a preprocessing stage in numerous audio processing
applications. In Voice over IP (VoIP) and mobile telephony
applications, VAD can reduce bandwidth usage and network
traffic by transmitting audio packets only if speech is detected.
VAD for VoIP can save bandwidth by filtering the frame that
does not certain speech. VAD algorithm is used to identify the
voice and silent region of a speech. This paper uses an
information theoretic measure, called spectral entropy for
differentiating silence from speech zone. The performance of the
system has been tested on signals with varying levels of SNRs
in different environments. The result reveals that this system can
fairly detect speech and non-speech events in noisy
backgrounds.
