Literature DB >> 26627804

Speech perception at positive signal-to-noise ratios using adaptive adjustment of time compression.

Anne Schlueter1, Thomas Brand2, Ulrike Lemke3, Stefan Nitzschner1, Birger Kollmeier2, Inga Holube1.   

Abstract

Positive signal-to-noise ratios (SNRs) characterize listening situations most relevant for hearing-impaired listeners in daily life and should therefore be considered when evaluating hearing aid algorithms. For this, a speech-in-noise test was developed and evaluated, in which the background noise is presented at fixed positive SNRs and the speech rate (i.e., the time compression of the speech material) is adaptively adjusted. In total, 29 younger and 12 older normal-hearing, as well as 24 older hearing-impaired listeners took part in repeated measurements. Younger normal-hearing and older hearing-impaired listeners conducted one of two adaptive methods which differed in adaptive procedure and step size. Analysis of the measurements with regard to list length and estimation strategy for thresholds resulted in a practical method measuring the time compression for 50% recognition. This method uses time-compression adjustment and step sizes according to Versfeld and Dreschler [(2002). J. Acoust. Soc. Am. 111, 401-408], with sentence scoring, lists of 30 sentences, and a maximum likelihood method for threshold estimation. Evaluation of the procedure showed that older participants obtained higher test-retest reliability compared to younger participants. Depending on the group of listeners, one or two lists are required for training prior to data collection.

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Year:  2015        PMID: 26627804     DOI: 10.1121/1.4934629

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  2 in total

1.  Does Time Compression Decrease Intelligibility for Female Talkers More Than for Male Talkers?

Authors:  Eric M Johnson; Shae D Morgan; Sarah Hargus Ferguson
Journal:  J Speech Lang Hear Res       Date:  2020-04-07       Impact factor: 2.297

2.  Modeling Binaural Unmasking of Speech Using a Blind Binaural Processing Stage.

Authors:  Christopher F Hauth; Simon C Berning; Birger Kollmeier; Thomas Brand
Journal:  Trends Hear       Date:  2020 Jan-Dec       Impact factor: 3.293

  2 in total

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