Revision, extension, and evaluation of a binaural speech intelligibility model

This study presents revision, extension, and evaluation of a binaural speech intelligibility model (Beutelmann, R., and Brand, T. (2006). J. Acoust. Soc. Am. 120, 331-342) that yields accurate predictions of speech reception thresholds (SRTs) in the presence of a stationary noise source at arbitrary...

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Veröffentlicht in:The Journal of the Acoustical Society of America Jg. 127; H. 4; S. 2479
Hauptverfasser: Beutelmann, Rainer, Brand, Thomas, Kollmeier, Birger
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States 01.04.2010
Schlagworte:
Acoustics
Adult
Aged
Aged, 80 and over
Audiometry, Pure-Tone
Auditory Threshold
Case-Control Studies
Comprehension
Computer Simulation
Facility Design and Construction
Hearing Loss - psychology
Humans
Middle Aged
Models, Psychological
Noise - adverse effects
Perceptual Masking
Persons With Hearing Impairments - psychology
Reproducibility of Results
Signal Detection, Psychological
Sound Localization
Sound Spectrography
Speech Discrimination Tests
Speech Intelligibility
Time Factors
ISSN:1520-8524, 1520-8524
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Zusammenfassung:This study presents revision, extension, and evaluation of a binaural speech intelligibility model (Beutelmann, R., and Brand, T. (2006). J. Acoust. Soc. Am. 120, 331-342) that yields accurate predictions of speech reception thresholds (SRTs) in the presence of a stationary noise source at arbitrary azimuths and in different rooms. The modified model is based on an analytical expression of binaural unmasking for arbitrary input signals and is computationally more efficient, while maintaining the prediction quality of the original model. An extension for nonstationary interferers was realized by applying the model to short time frames of the input signals and averaging over the predicted SRT results. Binaural SRTs from 8 normal-hearing and 12 hearing-impaired subjects, incorporating all combinations of four rooms, three source setups, and three noise types were measured and compared to the model's predictions. Depending on the noise type, the parametric correlation coefficients between observed and predicted SRTs were 0.80-0.93 for normal-hearing subjects and 0.59-0.80 for hearing-impaired subjects. The mean absolute prediction error was 3 dB for the mean normal-hearing data and 4 dB for the individual hearing-impaired data. 70% of the variance of the SRTs of hearing-impaired subjects could be explained by the model, which is based only on the audiogram.
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ISSN:1520-8524
1520-8524
DOI:10.1121/1.3295575