Using the Speech Transmission Index for predicting non-native speech intelligibility
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- Sander J. van Wijngaarden
- TNO Human Factors, PO Box 23, 3769 ZG Soesterberg, The Netherlands
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- Adelbert W. Bronkhorst
- TNO Human Factors, PO Box 23, 3769 ZG Soesterberg, The Netherlands
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- Tammo Houtgast
- TNO Human Factors, PO Box 23, 3769 ZG Soesterberg, The Netherlands
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- Herman J. M. Steeneken
- TNO Human Factors, PO Box 23, 3769 ZG Soesterberg, The Netherlands
抄録
<jats:p>While the Speech Transmission Index (STI) is widely applied for prediction of speech intelligibility in room acoustics and telecommunication engineering, it is unclear how to interpret STI values when non-native talkers or listeners are involved. Based on subjectively measured psychometric functions for sentence intelligibility in noise, for populations of native and non-native communicators, a correction function for the interpretation of the STI is derived. This function is applied to determine the appropriate STI ranges with qualification labels (“bad”–“excellent”), for specific populations of non-natives. The correction function is derived by relating the non-native psychometric function to the native psychometric function by a single parameter (ν). For listeners, the ν parameter is found to be highly correlated with linguistic entropy. It is shown that the proposed correction function is also valid for conditions featuring bandwidth limiting and reverberation.</jats:p>
収録刊行物
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- The Journal of the Acoustical Society of America
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The Journal of the Acoustical Society of America 115 (3), 1281-1291, 2004-02-27
Acoustical Society of America (ASA)
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詳細情報 詳細情報について
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- CRID
- 1360011144875305472
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- NII論文ID
- 30016061990
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- ISSN
- 15208524
- 00014966
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- データソース種別
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