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Article Dans Une Revue IEEE Transactions on Signal Processing Année : 2009

Echo Cancellation : the generalized likelihood ratio test for double-talk vs. channel change

Résumé

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.
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Dates et versions

hal-03572211 , version 1 (14-02-2022)

Identifiants

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Jean-Yves Tourneret, Neil J. Bershad, José Carlos Moreira Bermudez. Echo Cancellation : the generalized likelihood ratio test for double-talk vs. channel change. IEEE Transactions on Signal Processing, 2009, 5 (3), pp.916-926. ⟨10.1109/TSP.2008.2008261⟩. ⟨hal-03572211⟩
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