Frequency domain adaptive algorithm with nonlinear function of error-to-reference ratio for double-talk robust echo cancellation
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- Shimauchi Suehiro
- NTT Cyber Space Laboratories, NTT Corporation
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- Haneda Yoichi
- NTT Cyber Space Laboratories, NTT Corporation
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- Kataoka Akitoshi
- NTT Cyber Space Laboratories, NTT Corporation
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Abstract
Several adaptive algorithms for robust echo cancellation use nonlinear reference and/or error functions. Most of them require time-variant threshold estimators, e.g., noise level estimators or double-talk detectors, since their nonlinearities have to be adjusted in response to changes in near-end noise or speech signal levels. We propose a new frequency domain adaptive algorithm: the gradient-limited fast least-mean-squares (GL-FLMS), in which the coefficients are updated by using a nonlinear function of the error scaled by the reference magnitude, i.e., the error-to-reference ratio (ERR). When the acoustic coupling level between loudspeaker and microphone is bounded, the ERR is also bounded in the case of single-talk, but may increase during double-talk. The GL-FLMS limits unexpected increases in the ERR with fixed thresholds and prevents divergence of the coefficients, while not neglecting updates to adjust when a large reference signal introduces a large error during single-talk.
Journal
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- Acoustical Science and Technology
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Acoustical Science and Technology 26 (1), 8-15, 2005
ACOUSTICAL SOCIETY OF JAPAN
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Details 詳細情報について
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- CRID
- 1390001205090130816
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- NII Article ID
- 110003140518
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- NII Book ID
- AA11501808
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- DOI
- 10.1250/ast.26.8
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- ISSN
- 13475177
- 03694232
- 13463969
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- NDL BIB ID
- 7200398
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- Text Lang
- en
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- Data Source
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- JaLC
- NDL
- Crossref
- NDL-Digital
- CiNii Articles
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- Abstract License Flag
- Disallowed