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PubMed · 8153567

Signal processing for hearing impairment.

H Levitt·M Bakke·J Kates·A Neuman·T Schwander·M Weiss
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Abstract

Four noise reduction methods for use in sensory aids for hearing impairment were evaluated. These include a two-microphone adaptive noise canceller, short-term Wiener filtering, a transformed spectrum subtraction technique, and sinusoidal modelling. The largest improvements in speech recognition were obtained with the two-microphone adaptive noise canceller in a moderately reverberant room. Significant improvements were also obtained for short-term Wiener filtering for some hearing-impaired subjects. The transformed spectrum-subtraction technique failed to improve performance as the front-end of a hearing aid, but yielded improvements in performance as a preprocessor for the Nucleus Cochlear Implant. Sinusoidal modelling resulted in significant improvements in signal-to-noise ratio, but without a corresponding improvement in speech intelligibility.

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Acoustic StimulationCochlear ImplantsEquipment DesignEvaluation Studies as TopicFemaleFollow-Up StudiesHearing AidsHearing Loss, SensorineuralHumansMaleNoisePhoneticsPilot ProjectsSpeech PerceptionTask Performance and AnalysisComparative StudyJournal ArticleResearch Support, U.S. Gov't, Non-P.H.S.Research Support, U.S. Gov't, P.H.S.

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H Levitt, M Bakke, J Kates, A Neuman, T Schwander, M Weiss. 1993. Signal processing for hearing impairment.. https://pubmed.ncbi.nlm.nih.gov/8153567/

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