| Paper: | SPTM-P12.1 | ||
| Session: | Adaptive Systems and Filtering I | ||
| Time: | Friday, May 19, 14:00 - 16:00 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing Theory and Methods: Adaptive Systems and Filtering | ||
| Title: | ECHO CANCELLATION - A LIKELIHOOD RATIO TEST FOR DOUBLE-TALK VS. CHANNEL CHANGE | ||
| Authors: | Neil Bershad, University of California, Irvine, United States; Jean-Yves Tourneret, IRIT / ENSEEIHT / TéSA, France | ||
| Abstract: | ABSTRACT Echo cancellers are in wide use in both electrical (four wire to two wire 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 control logic can be quite complicated [1] since it is often not easy to discriminate between the echo signal and the near end-speaker. This paper derives a log Likelihood Ratio Test for deciding between double-talk (freeze weights) and a channel change (adapt quickly) using a stationary Gaussian stochastic input signal model. The probablity 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 indicate that it is difficult to correctly decide between double-talk and a channel change based upon a single look. However, post-detection integration of approximately one hundred sufficient statistic samples yields a detection probability close to unity with a small false alarm probability | ||
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