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Adaptive cancellation of acoustic echoes during double-talk based on an information theoretic criteria | IEEE Conference Publication | IEEE Xplore

Adaptive cancellation of acoustic echoes during double-talk based on an information theoretic criteria


Abstract:

This paper casts the problem of canceling acoustic echoes during a double-talk event as a blind signal separation problem. Principles of independent component analysis ar...Show More

Abstract:

This paper casts the problem of canceling acoustic echoes during a double-talk event as a blind signal separation problem. Principles of independent component analysis are applied to derive algorithms for updating the echo cancellation filter during double-talk, and the near-end signal is separated out from the microphone signal. This approach simplifies the the structure of acoustic echo cancelers by avoiding the need for double-talk detection. The same updating algorithm is applied under all conditions. The proposed approach is compared with existing methods on live data recorded on a speaker phone.
Date of Conference: 01-04 November 2009
Date Added to IEEE Xplore: 20 May 2010
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Conference Location: Pacific Grove, CA, USA

References

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