Summary
Asia-Pacific Conference on Communications
2008
Session Number:16-PM2-F
Session:
Number:1569129207
A Model-based Voice Activity Detection Algorithm using probabilistic neural networks
M. Farsinejad, M.Mohammadi, B.Nasersharif , A.Akbari,
pp.-
Publication Date:2008/10/14
Online ISSN:2188-5079
DOI:10.34385/proc.27.1569129207
Summary:
In this paper we introduce an efficient probabilistic neural networks(PNN) Model-based Voice Activity Detection (VAD) algorithm. The inputs for PNN are code excited linear prediction coder parameters, which are stable under background noise. The PNN network output is 1 or 0 to determine the nature of the period (speech or NonSpeech). Experimental results show that the proposed VAD algorithm achieves better performance than G.729 Annex B at any noise level .The performance compares very favorably with Adaptive MultiRate VAD, phase 2 (AMR2).