DocumentCode :
2178499
Title :
A modified MAP criterion based on hidden Markov model for voice activity detecion
Author :
Deng, Shiwen ; Han, Jiqing ; Zheng, Tieran ; Zheng, Guibin
Author_Institution :
Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin, China
fYear :
2011
fDate :
22-27 May 2011
Firstpage :
5220
Lastpage :
5223
Abstract :
The maximum a posteriori (MAP) criterion is broadly used in the statistical model-based voice activity detection (VAD) approaches. In the conventional MAP criterion, however, the inter-frame correlation of the voice activity is not taken into consideration. In this paper, we proposes a novel modified MAP criterion based on a two-state hidden Markov model (HMM) to improve the performance of the VAD, and the the inter-frame correlation of the voice activity is modeled. With the proposed MAP criterion, the decision rule is derived by explicitly incorporating the a priori, a posteriori, and inter-frame correlation information into the likelihood ratio test (LRT). In the LRT, a compensation factor for the hypothesis of speech presence is used to regulate the trade-off between the probability of detection and the false alarm probability. Experimental results show the superiority of the VAD algorithm based on the proposed MAP criterion in comparison with that based on the recent conditional MAP criterion (CMAP) under various noise conditions.
Keywords :
hidden Markov models; speech processing; CMAP; HMM; LRT; VAD; conditional MAP criterion; hidden Markov model; likelihood ratio test; maximum a posteriori criterion; modified map criterion; voice activity detection; Correlation; Discrete Fourier transforms; Hidden Markov models; Signal to noise ratio; Speech; Speech processing; MAP criterion; Voice activity detection; hidden Markov model; likelihood ratio test;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague
ISSN :
1520-6149
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2011.5947534
Filename :
5947534
Link To Document :
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