Literature DB >> 18537400

Binaural intelligibility prediction based on the speech transmission index.

Sander J van Wijngaarden1, Rob Drullman.   

Abstract

Although the speech transmission index (STI) is a well-accepted and standardized method for objective prediction of speech intelligibility in a wide range of environments and applications, it is essentially a monaural model. Advantages of binaural hearing in speech intelligibility are disregarded. In specific conditions, this leads to considerable mismatches between subjective intelligibility and the STI. A binaural version of the STI was developed based on interaural cross correlograms, which shows a considerably improved correspondence with subjective intelligibility in dichotic listening conditions. The new binaural STI is designed to be a relatively simple model, which adds only few parameters to the original standardized STI and changes none of the existing model parameters. For monaural conditions, the outcome is identical to the standardized STI. The new model was validated on a set of 39 dichotic listening conditions, featuring anechoic, classroom, listening room, and strongly echoic environments. For these 39 conditions, speech intelligibility [consonant-vowel-consonant (CVC) word score] and binaural STI were measured. On the basis of these conditions, the relation between binaural STI and CVC word scores closely matches the STI reference curve (standardized relation between STI and CVC word score) for monaural listening. A better-ear STI appears to perform quite well in relation to the binaural STI model; the monaural STI performs poorly in these cases.

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Year:  2008        PMID: 18537400     DOI: 10.1121/1.2905245

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


  2 in total

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Authors:  Adelbert W Bronkhorst
Journal:  Atten Percept Psychophys       Date:  2015-07       Impact factor: 2.199

2.  A Novel Method for Intelligibility Assessment of Nonlinearly Processed Speech in Spaces Characterized by Long Reverberation Times.

Authors:  Adam Kurowski; Jozef Kotus; Piotr Odya; Bozena Kostek
Journal:  Sensors (Basel)       Date:  2022-02-19       Impact factor: 3.576

  2 in total

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