Interleaved Acoustic Environments: Impact of an Auditory Scene Classification Procedure on Speech Perception in Cochlear Implant Users.

Clinical speech perception tests with simple presentation conditions often overestimate the impact of signal preprocessing on speech perception in complex listening environments. A new procedure was developed to assess speech perception in interleaved acoustic environments of different complexity th...

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Publicado en:Trends in Hearing pp. 1 - 15
Autores principales: Eichenauer, Anja, Baumann, Uwe, Stöver, Timo, Weissgerber, Tobias
Formato: research tables/charts Journal Article
Publicado: Sage Publications Inc. 5/24/2021
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 5/24/2021
      pid: 344
      pub: Sage Publications Inc.
      place: Thousand Oaks, California
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        10.1177/23312165211014118
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        atl: Interleaved Acoustic Environments: Impact of an Auditory Scene Classification Procedure on Speech Perception in Cochlear Implant Users.
      aug:
        au:
          Eichenauer, Anja
          Baumann, Uwe
          Stöver, Timo
          Weissgerber, Tobias
        affil: Audiological Acoustics, ENT Department, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt am Main, Germany
      sug:
        subj:
          Cochlear Implant
          Speech Perception Evaluation
          Listening
          Environment
          Speech Acoustics
          Human
          Persons with Disabilities
          Algorithms
          Prospective Studies
          Auditory Threshold
          Speech Reception Threshold Test Methods
          Noise
          Experimental Studies
          Random Sample
          Simulations
          Patient Attitudes
          Comparative Studies
          Hearing
      ab: Clinical speech perception tests with simple presentation conditions often overestimate the impact of signal preprocessing on speech perception in complex listening environments. A new procedure was developed to assess speech perception in interleaved acoustic environments of different complexity that allows investigation of the impact of an automatic scene classification (ASC) algorithm on speech perception. The procedure was applied in cohorts of normal hearing (NH) controls and uni- and bilateral cochlear implant (CI) users. Speech reception thresholds (SRTs) were measured by means of a matrix sentence test in five acoustic environments that included different noise conditions (amplitude modulated and continuous), two spatial configurations, and reverberation. The acoustic environments were encapsulated in a randomized, mixed order single experimental run. Acoustic room simulation was played back with a loudspeaker auralization setup with 128 loudspeakers. 18 NH, 16 unilateral, and 16 bilateral CI users participated. SRTs were evaluated for each individual acoustic environment and as mean-SRT. Mean-SRTs improved by 2.4 dB signal-to-noise ratio for unilateral and 1.3 dB signal-to-noise ratio for bilateral CI users with activated ASC. Without ASC, the mean-SRT of bilateral CI users was 3.7 dB better than the SRT of unilateral CI users. The mean-SRT indicated significant differences, with NH group performing best and unilateral CI users performing worse with a difference of up to 13 dB compared to NH. The proposed speech test procedure successfully demonstrated that speech perception and benefit with ASC depend on the acoustic environment.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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