Using the Speech Transmission Index for predicting non-native speech intelligibility
| Autor: | Wijngaarden, S.J. van, Bronkhorst, A.W., Houtgast, T., Steeneken, H.J.M. |
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| Přispěvatelé: | TNO Technische Menskunde |
| Jazyk: | angličtina |
| Rok vydání: | 2004 |
| Předmět: |
noise
speech discrimination biological environment speech transmission index engineering speech Speech transmission index (STI) Multilingualism Models Biological Speech Acoustics interpersonal communication Bandwidth telecommunication Speech Production Measurement non native speech communication Humans acoustics listening speech intelligibility article linguistics Reproducibility of Results prediction Psychometric functions Logistic Models priority journal Correlation methods correction function hearing psychometry Speech Perception measurement Acoustics and Audiology Acoustic noise Perceptual Masking |
| Zdroj: | Journal of the Acoustical Society of America, 3, 115, 1281-1291 |
| Popis: | 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 (v). For listeners, the nparameter 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. |
| Databáze: | OpenAIRE |
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