Tourneret, Jean-Yves and Bershad, Neil J. and Bermudez, José Carlos M. Echo Cancellation : the generalized likelihood ratio test for double-talk vs. channel change. (2009) IEEE Transactions on Signal Processing, vol. 5 (n° 3). pp. 916-926.
(Document in English)
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Official URL: http://dx.doi.org/10.1109/TSP.2008.2008261
Echo cancellers are required in both electrical (impedance mismatch) and acoustic (speaker-microphone coupling) applications. One of the main design problems is the control logic for adaptation. Basically, the algorithm weights should be frozen in the presence of double-talk and adapt quickly in the absence of double-talk. The optimum likelihood ratio test (LRT) for this problem was studied in a recent paper. The LRT requires a priori knowledge of the background noise and double-talk power levels. Instead, this paper derives a generalized log likelihood ratio test (GLRT) that does not require this knowledge. The probability density function of a sufficient statistic under each hypothesis is obtained and the performance of the test is evaluated as a function of the system parameters. The receiver operating characteristics (ROCs) indicate that it is difficult to correctly decide between double-talk and a channel change, based upon a single look. However, detection based on about 200 successive samples yields a detection probability close to unity (0.99) with a small false alarm probability (0.01) for the theoretical GLRT model. Application of a GLRT-based echo canceller (EC) to real voice data shows comparable performance to that of the LRT-based EC given in a recent paper.
|Additional Information:||The original publication is available on http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?puNumber=78|
|Audience (journal):||International peer-reviewed journal|
|Institution:||Other partners > University of California - UCIrvine (USA)|
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT
Université de Toulouse > Université Paul Sabatier-Toulouse III - UPS
French research institutions > Centre National de la Recherche Scientifique - CNRS
Other partners > Federal University of Santa Catarina - UFSC (BRAZIL)
|Deposited By:||Jean-yves TOURNERET|
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