Paper Info
Title
Joint optimization of LCMV beamforming and acoustic echo cancellation for automatic speech recognition
Abstract
For full-duplex hands-free acoustic human/machine interfaces, a combination of acoustic echo cancellation and speech enhancement is often required in order to suppress acoustic echoes, local interference and noise. In order to exploit positive synergies between acoustic echo cancellation and speech enhancement optimally, we previously presented a combined least-squares (LS) optimization criterion for the integration of acoustic echo cancellation and adaptive linearly-constrained minimum variance (LCMV) beamforming (Herbordt, W. et al., Proc. EURASIP European Sig. Process. Conf., 2004). By means of speech recognition experiments, we now illustrate the efficiency of the proposed solution in situations with high levels of background noise and with time-varying echo paths and frequent double-talk.
Year
DOI
Venue
2005
10.1109/ICASSP.2005.1415650
ICASSP '05). IEEE International Conference
Keywords
Field
DocType
acoustic noise,acoustic signal processing,array signal processing,audio user interfaces,echo suppression,interference suppression,natural language interfaces,optimisation,random noise,speech enhancement,speech recognition,speech-based user interfaces,acoustic echo cancellation,adaptive beamforming microphone arrays,adaptive linearly-constrained minimum variance beamforming,automatic speech recognition,double-talk,hands-free acoustic human/machine interfaces,interference suppression,least-squares optimization criterion,noise suppression,speech enhancement,time-varying echo paths
Noise,Speech enhancement,Minimum-variance unbiased estimator,Beamforming,Background noise,Computer science,Speech recognition,Interference (wave propagation),Active noise control,Double-talk
Conference
Volume
ISSN
ISBN
3
1520-6149
0-7803-8874-7
Citations 
PageRank 
References 
9
0.63
4
Authors
3
Name
Order
Citations
PageRank
Wolfgang Herbordt1455.77
Satoshi Nakamura2595.47
W. Kellermann368671.03