Literature DB >> 19626512

Development of a Danish speech intelligibility test.

Jens Bo Nielsen1, Torsten Dau.   

Abstract

A Danish speech intelligibility test for assessing the speech recognition threshold in noise (SRT(N)) has been developed. The test consists of 180 sentences distributed in 18 phonetically balanced lists. The sentences are based on an open word-set and represent everyday language. The sentences were equalized with respect to intelligibility to ensure uniform SRT(N) assessments with all lists. In contrast to several previously developed tests such as the hearing in noise test (HINT) where the equalization is based on scored (objective) measures of word intelligibility, the present test used an equalization method based on subjective assessments of the sentences. The new equalization method is shown to create lists with less variance between the SRT(N)s than the traditional method. The number of sentence levels included in the SRT(N) calculation was also evaluated and differs from previous tests. The test was verified with 14 normal-hearing listeners; the overall SRT(N) lies at a signal-to-noise ratio of -3.15 dB with a standard deviation of 1.0 dB. The list-SRT(N)s deviate less than 0.5 dB from the overall mean.

Mesh:

Year:  2009        PMID: 19626512     DOI: 10.1080/14992020903019312

Source DB:  PubMed          Journal:  Int J Audiol        ISSN: 1499-2027            Impact factor:   2.117


  10 in total

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Authors:  Satyabrata Parida; Michael G Heinz
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3.  The Feasibility and Reliability of a Digits-in-Noise Test in the Clinical Follow-Up of Children With Mild to Profound Hearing Loss.

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Review 4.  Variations in the slope of the psychometric functions for speech intelligibility: a systematic survey.

Authors:  Alexandra MacPherson; Michael A Akeroyd
Journal:  Trends Hear       Date:  2014-06-06       Impact factor: 3.293

5.  Development of a novel Italian speech-in-noise test using a roving-level adaptive method: adult population-based normative data.

Authors:  P Canzi; M Manfrin; G Locatelli; P Nopp; M Perotti; M Benazzo
Journal:  Acta Otorhinolaryngol Ital       Date:  2016-12       Impact factor: 2.124

6.  Speech perception is similar for musicians and non-musicians across a wide range of conditions.

Authors:  Sara M K Madsen; Marton Marschall; Torsten Dau; Andrew J Oxenham
Journal:  Sci Rep       Date:  2019-07-18       Impact factor: 4.379

7.  A Competing Voices Test for Hearing-Impaired Listeners Applied to Spatial Separation and Ideal Time-Frequency Masks.

Authors:  Lars Bramsløw; Marianna Vatti; Rikke Rossing; Gaurav Naithani; Niels Henrik Pontoppidan
Journal:  Trends Hear       Date:  2019 Jan-Dec       Impact factor: 3.293

8.  No interaction between fundamental-frequency differences and spectral region when perceiving speech in a speech background.

Authors:  Sara M K Madsen; Torsten Dau; Andrew J Oxenham
Journal:  PLoS One       Date:  2021-04-07       Impact factor: 3.240

9.  The benefit of combining a deep neural network architecture with ideal ratio mask estimation in computational speech segregation to improve speech intelligibility.

Authors:  Thomas Bentsen; Tobias May; Abigail A Kressner; Torsten Dau
Journal:  PLoS One       Date:  2018-05-15       Impact factor: 3.240

10.  Spectrally specific temporal analyses of spike-train responses to complex sounds: A unifying framework.

Authors:  Satyabrata Parida; Hari Bharadwaj; Michael G Heinz
Journal:  PLoS Comput Biol       Date:  2021-02-22       Impact factor: 4.475

  10 in total

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