Title :
Voice Activity Detection Based on Conditional MAP Criterion
Author :
Shin, Jong Won ; Kwon, Hyuk Jin ; Jin, Suk Ho ; Kim, Nam Soo
Author_Institution :
Seoul Nat. Univ., Seoul
fDate :
6/30/1905 12:00:00 AM
Abstract :
In this letter, we propose a novel approach to voice activity detection (VAD) based on the modified maximum a posteriori (MAP) criterion conditioned on the voice activity decision made in the previous frame. To exploit the inter-frame correlation of voice activity, the probability of the voice presence conditioned on both the observed spectrum and the voice activity decision in the previous frame is employed instead of the conventional strategy that depends only on the current observation. The proposed conditional MAP criterion incorporating temporal correlations leads to two separate thresholds for the likelihood ratio test (LRT) depending on the previous VAD result. Experimental results show that the VAD based on the proposed conditional MAP criterion outperforms the VAD based on the conventional MAP criterion under various noise environments.
Keywords :
maximum likelihood estimation; speech coding; likelihood ratio test; maximum a posteriori criterion; speech coding; temporal correlations; voice activity detection; Bandwidth; Laplace equations; Light rail systems; Noise shaping; Parametric statistics; Shape measurement; Signal to noise ratio; Speech enhancement; Speech processing; Testing; Conditional MAP; likelihood ratio test; speech coding; statistical modeling; voice activity detection;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2008.917027