This paper overviews significance of voice activity detection 
for speech related problems, the application sphere of speaker 
identification systems and illustrates the use of the 
simple energy-based voice activity detector in an automatic 
text-independent speaker identification task. 
The experimental evaluation of the voice activity detector 
and the Gaussian mixture model (GMM) for speaker recognition 
is conducted on a 50 speaker set and a result is presented.