TY - GEN
T1 - A modified MAP criterion based on hidden Markov model for voice activity detecion
AU - Deng, Shiwen
AU - Han, Jiqing
AU - Zheng, Tieran
AU - Zheng, Guibin
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - MAP criterion
KW - Voice activity detection
KW - hidden Markov model
KW - likelihood ratio test
UR - https://www.scopus.com/pages/publications/80051622763
U2 - 10.1109/ICASSP.2011.5947534
DO - 10.1109/ICASSP.2011.5947534
M3 - 会议稿件
AN - SCOPUS:80051622763
SN - 9781457705397
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 5220
EP - 5223
BT - 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
T2 - 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
Y2 - 22 May 2011 through 27 May 2011
ER -