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Drift-Compensated Adaptive Filtering for Improving Speech Intelligibility in Cases with Asynchronous Inputs

Abstract

In general, it is difficult for conventional adaptive interference cancellation schemes to improve speech intelligibility in the presence of interference whose source is obtained asynchronously with the corrupted target speech. This is because there are inevitable timing drifts between the two inputs to the system. To address this problem, a drift-compensated adaptive filtering (DCAF) scheme is proposed in this paper. It extends the conventional schemes by adopting a timing drift identification and compensation algorithm which, together with an advanced adaptive filtering algorithm, makes it possible to reduce the interference even if the magnitude of the timing drift rate is as big as one or two percent. This range is large enough to cover timing accuracy variations of most audio recording and playing devices nowadays.

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Correspondence to Heping Ding.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Ding, H., Havelock, D.I. Drift-Compensated Adaptive Filtering for Improving Speech Intelligibility in Cases with Asynchronous Inputs. EURASIP J. Adv. Signal Process. 2010, 621064 (2010). https://doi.org/10.1155/2010/621064

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Keywords

  • Drift Rate
  • Full Article
  • Audio Recording
  • Adaptive Filter
  • Timing Drift
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