Title :
Combining Sub-bands SNR on Cochlear Model for Voice Activity Detection
Author :
Liu, Qibo ; Liu, Yi ; Li, Yanjie
Author_Institution :
Dept. of Auto Control, HIT, Shenzhen, China
Abstract :
In this paper, we proposed a novel approach to combine sub-bands SNR for Voice Activity Detection. In the proposed algorithm, a nonlinear method based on cochlear model is used to divide sub-bands. In each sub-band, two Order Statistic Filters are used to estimate the signal SNR. Through the use of the above methods, the sub-bands SNR is combined by a linear dicriminant function calculated under the MSE criterion. The effectiveness of proposed method has been evaluated on RASC863 corpus. It is shown that the proposed algorithm has more robust ability against the common VAD methods, and the non-speech hit rate is significant improved under the proposed algorithm.ε
Keywords :
mean square error methods; nonlinear filters; speech recognition; speech synthesis; MSE criterion; RASC863 corpus; VAD methods; cochlear model; linear dicriminant function; nonlinear method; nonspeech hit rate; order statistic filters; signal SNR estimation; subbands SNR; voice activity detection; Artificial neural networks; Databases; Encoding; Signal to noise ratio; Speech; Speech processing; Speech recognition; Discriminant function; MSE; cochlear model; non-speech hit rate; oder statistic filters; sub-bands SNR combination; voice activity detection;
Conference_Titel :
Asian Language Processing (IALP), 2010 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-9063-9
DOI :
10.1109/IALP.2010.18
