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On Mitigating Acoustic Feedback in Hearing Aids with Frequency Warping by All-Pass Networks.

作者信息

Lee Ching-Hua, Chen Kuan-Lin, Harris Fred, Rao Bhaskar D, Garudadri Harinath

机构信息

Department of Electrical and Computer Engineering, University of California, San Diego.

出版信息

Interspeech. 2019 Sep;2019:4245-4249. doi: 10.21437/interspeech.2019-3195.

Abstract

Acoustic feedback control continues to be a challenging problem due to the emerging form factors in advanced hearing aids (HAs) and hearables. In this paper, we present a novel use of well-known all-pass filters in a network to perform frequency warping that we call "freping." Freping helps in breaking the Nyquist stability criterion and improves adaptive feedback cancellation (AFC). Based on informal subjective assessments, distortions due to freping are fairly benign. While common objective metrics like the perceptual evaluation of speech quality (PESQ) and the hearing-aid speech quality index (HASQI) may not adequately capture distortions due to freping and acoustic feedback artifacts from a perceptual perspective, they are still instructive in assessing the proposed method. We demonstrate quality improvements with freping for a basic AFC (PESQ: 2.56 to 3.52 and HASQI: 0.65 to 0.78) at a gain setting of 20; and an advanced AFC (PESQ: 2.75 to 3.17 and HASQI: 0.66 to 0.73) for a gain of 30. From our investigations, freping provides larger improvement for basic AFC, but still improves overall system performance for many AFC approaches.

摘要

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本文引用的文献

1
Jointly Leveraging Decorrelation and Sparsity for Improved Feedback Cancellation in Hearing Aids.
Proc Eur Signal Process Conf EUSIPCO. 2020;2020:121-125. doi: 10.23919/eusipco47968.2020.9287330. Epub 2020 Dec 18.
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