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Fast amplitude compression in hearing aids improves audibility but degrades speech information transmission
KTH, School of Electrical Engineering (EES), Sound and Image Processing (Closed 130101).
KTH, School of Electrical Engineering (EES), Sound and Image Processing (Closed 130101).
2008 (English)Conference paper (Refereed)
Abstract [en]

Common types of hearing impairment are caused mainly by a loss of nearly instantaneous compressive amplification in the inner ear. Therefore, it seems plausible that the loss might be compensated by fast frequency-dependent compression in the hearing aid. We simulated impaired listeners' auditory analysis of hearing-aid processed speech in noise using a functional auditory model. Using hidden Markov signal models, we estimated the mutual information between the phonetic structure of clean speech and the neural output from the auditory model, with fast and slow versions of hearing-aid compression. The long-term speech spectrum of amplified sound was identical in both systems, as specified individually by the widely accepted NAL prescription for the gain frequency response. The calculation showed clearly better speech-to-auditory information transmission with slow quasi-linear amplification than with fast hearing-aid compression, for speech in speech-shaped noise at signal-to-noise ratios ranging from -10 to +20 dB.

Place, publisher, year, edition, pages
, European Signal Processing Conference, ISSN 2219-5491
Keyword [en]
Amplitude compression, Auditory models, Clean speech, Frequency-dependent, Gain-frequency response, Hearing aid, Hearing impairments, Information transmission, Inner ear, Mutual informations, Phonetic structure, Quasi-linear, Signal models, Speech information, Speech spectra, Speech-shaped noise, Amplification, Frequency response, Hearing aids, Hidden Markov models, Speech communication, Speech recognition, Speech transmission, Audition
National Category
Communication Studies
URN: urn:nbn:se:kth:diva-153302ScopusID: 2-s2.0-84863752338OAI: diva2:756368
16th European Signal Processing Conference, EUSIPCO 2008, 25-29 August 2008, Lausanne, Switzerland

QC 20141017

Available from: 2014-10-17 Created: 2014-10-03 Last updated: 2014-10-17Bibliographically approved

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Leijon, ArneStadler, Svante
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Sound and Image Processing (Closed 130101)
Communication Studies

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