Title :
Blind separation of convolutive mixtures and an application in automatic speech recognition in a noisy environment
Author :
Ehlers, F. ; Schuster, H.G.
Author_Institution :
Inst. fur Theor. Phys., Kiel Univ., Germany
fDate :
10/1/1997 12:00:00 AM
Abstract :
We propose a two-step algorithm for the blind separation of convolutive mixtures. We discuss its application to automatic speech recognition in a noisy environment where the acoustic signals have been recorded by a microphone in a room whose furniture and walls produce echoes. The method yields good results
Keywords :
acoustic convolution; acoustic noise; acoustic signal processing; architectural acoustics; echo; speech recognition; acoustic signals; automatic speech recognition; blind separation; convolutive mixtures; echoes; furniture; microphone; noisy environment; reflection; room; two-step algorithm; walls; Array signal processing; Automatic speech recognition; Computer simulation; Direction of arrival estimation; Position measurement; Sensor arrays; Signal processing; Signal processing algorithms; Testing; Working environment noise;
Journal_Title :
Signal Processing, IEEE Transactions on