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Wouter A. Dreschler

Researcher at Academic Medical Center

Publications -  123
Citations -  3574

Wouter A. Dreschler is an academic researcher from Academic Medical Center. The author has contributed to research in topics: Noise & Intelligibility (communication). The author has an hindex of 30, co-authored 118 publications receiving 3202 citations.

Papers
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Journal Article

ICRA noises: artificial noise signals with speech-like spectral and temporal properties for hearing instrument assessment. International Collegium for Rehabilitative Audiology.

TL;DR: The design criteria, the realisation process, and the final selection of nine test signals on a CD show the effectiveness of the ICRA noises, and some initial steps are proposed to develop a standard method of technical specification of noise reduction based on the modulation characteristics.
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ICRA Noises: Artificial Noise Signals with Speech-like Spectral and Temporal Properties for Hearing Instrument Assessment: Ruidos ICRA: Señates de ruido artificial con espectro similar al habla y propiedades temporales para pruebas de instrumentos auditivos

TL;DR: It is demonstrated that the ICRA noises show the effectiveness of the noise reduction schemes, and some initial steps are proposed to develop a standard method of technical specification of noise reduction based on the modulation characteristics.
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Extended speech intelligibility index for the prediction of the speech reception threshold in fluctuating noise.

TL;DR: It can be concluded that the extended SII model is able to predict the SRTs for the majority of conditions, but that predictions are better when the extendedSII model includes a function to account for forward masking.
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Relations between psychophysical data and speech perception for hearing‐impaired subjects. II

TL;DR: In this article, a heterogeneous group of ten hearing-impaired adolescents were studied, and relations between several psychophysical test results and speech reception thresholds in quiet and noise were studied.
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Multicenter evaluation of signal enhancement algorithms for hearing aids.

TL;DR: Despite the general lack of improvement in SRT, some algorithms were preferred over the unprocessed condition at all tested signal-to-noise ratios (SNRs) and these effects were found across different subject groups and test sites.