Title :
Maximum likelihood noise cancellation using the EM algorithm
Author :
Feder, Meir ; Oppenheim, Alan V. ; Weinstein, Ehud
Author_Institution :
Dept. of Electr. Eng & Comput. Sci., MIT, Cambridge, MA, USA
fDate :
2/1/1989 12:00:00 AM
Abstract :
An approach to the two-microphone speech enhancement problem is discussed. Specifically, a maximum-likelihood (ML) problem is formulated for estimating the parameters needed for canceling the noise, and solved by the iterative EM (estimate-maximize) technique. The EM algorithm has been implemented for both a simplified and a more general scenario. The results improve upon those obtained with the classical least-squares approach
Keywords :
interference suppression; microphones; parameter estimation; speech analysis and processing; EM algorithm; iterative estimate maximise technique; maximum likelihood noise cancellation; parameter estimation; two-microphone speech enhancement problem; Acoustic noise; Acoustic sensors; Helium; Maximum likelihood estimation; Microphones; Noise cancellation; Noise measurement; Sea measurements; Speech enhancement; Working environment noise;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
