TY - GEN
T1 - Isolated word recognition in reverberant environments
AU - Wang, Shu Guang
AU - Zeng, Xiang Yang
AU - Wang, Qiang
PY - 2011
Y1 - 2011
N2 - The additive noise and channel distortion caused by reverberation can degrade the performance of isolated word recognition(IWR), and have become the key constraint to the applications of IWR. In this paper, we present a reverberation robust isolated word recognition method. By using the relative autocorrelation sequences (RAS) based voice activity detection, influences of additive noise can be eliminated. To reduce the channel distortion Cepstral mean subtraction (CMS) is employed in Mel frequency cepstral coefficients (MFCC) extraction. And Gaussian mixture model (GMM) is used for the statistical modeling. The performance of the presented method in various reverberation conditions was evaluated by the recognition experiments.
AB - The additive noise and channel distortion caused by reverberation can degrade the performance of isolated word recognition(IWR), and have become the key constraint to the applications of IWR. In this paper, we present a reverberation robust isolated word recognition method. By using the relative autocorrelation sequences (RAS) based voice activity detection, influences of additive noise can be eliminated. To reduce the channel distortion Cepstral mean subtraction (CMS) is employed in Mel frequency cepstral coefficients (MFCC) extraction. And Gaussian mixture model (GMM) is used for the statistical modeling. The performance of the presented method in various reverberation conditions was evaluated by the recognition experiments.
KW - cepstral mean subtraction
KW - Gaussian mixture model
KW - isolated word recognition
KW - Mel frequency cepstral coefficients
KW - relative autocorrelation sequences
KW - reverberation
UR - http://www.scopus.com/inward/record.url?scp=81055138864&partnerID=8YFLogxK
U2 - 10.1109/ICSPCC.2011.6061575
DO - 10.1109/ICSPCC.2011.6061575
M3 - 会议稿件
AN - SCOPUS:81055138864
SN - 9781457708947
T3 - 2011 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2011
BT - 2011 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2011
T2 - 2011 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2011
Y2 - 14 September 2011 through 16 September 2011
ER -