JOURNAL ARTICLE

Signal-to-Noise-Ratio-Aware Dynamic Range Compression in Hearing Aids

Tobias MayBorys KowalewskiTorsten Dau

Year: 2018 Journal:   Trends in Hearing Vol: 22 Pages: 2331216518790903-2331216518790903   Publisher: SAGE Publishing

Abstract

Fast-acting dynamic range compression is a level-dependent amplification scheme which aims to restore audibility for hearing-impaired listeners. However, when being applied to noisy speech at positive signal-to-noise ratios (SNRs), the gain function typically changes rapidly over time as it is driven by the short-term fluctuations of the speech signal. This leads to an amplification of the noise components in the speech gaps, which reduces the output SNR and distorts the acoustic properties of the background noise. An adaptive compression scheme is proposed here which utilizes information about the SNR in different frequency channels to adaptively change the characteristics of the compressor. Specifically, fast-acting compression is applied to speech-dominated time-frequency (T-F) units where the SNR is high, while slow-acting compression is used to effectively linearize the processing for noise-dominated T-F units where the SNR is low. A systematic evaluation of this SNR-aware compression scheme showed that the effective compression of speech components embedded in noise was similar to that of a conventional fast-acting system, whereas natural fluctuations in the background noise were preserved in a similar way as when a slow-acting compressor was applied.

Keywords:
Dynamic range Noise (video) Audiology Range (aeronautics) Speech recognition Dynamic range compression Hearing aid Computer science Hearing loss Acoustics Psychology Engineering Telecommunications Medicine Artificial intelligence Physics Computer vision

Metrics

30
Cited By
2.71
FWCI (Field Weighted Citation Impact)
63
Refs
0.90
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Speech and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing
Hearing Loss and Rehabilitation
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Advanced Adaptive Filtering Techniques
Physical Sciences →  Engineering →  Computational Mechanics

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