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International Journal of Audiology Volume 57, 2018 - Issue sup3: Hearing Aid Technology: Model-based concepts and Assessment
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Original Article

Comparison of single-microphone noise reduction schemes: can hearing impaired listeners tell the difference?

Rainer HuberHörTech gGmbH and Cluster of Excellence Hearing4All, Oldenburg, Germany, Correspondence[email protected]
ORCID Iconhttp://orcid.org/0000-0001-7241-2037
ORCID Icon,
Thomas BisitzHörTech gGmbH and Cluster of Excellence Hearing4All, Oldenburg, Germany,
,
Timo GerkmannDepartment of Medical Physics and Acoustics, University of Oldenburg, and Cluster of Excellence Hearing4All, Oldenburg, Germany,
,
Jürgen KiesslingFunktionsbereich Audiologie, Justus-Liebig University Giessen, Giessen, Germany, and
,
Hartmut MeisterJean Uhrmacher Institute for Clinical ENT-Research, University of Cologne, Cologne, Germany
&
Birger KollmeierDepartment of Medical Physics and Acoustics, University of Oldenburg, and Cluster of Excellence Hearing4All, Oldenburg, Germany,
Pages S55-S61 | Received 06 Sep 2016, Accepted 03 Jan 2017, Published online: 23 Jan 2017

Citations (8)

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Read on this site (1)

Ilja Reinten, Inge de Ronde-Brons, Rolph Houben & Wouter Dreschler. (2019) Subjective evaluation of single microphone noise reduction with different time constants. International Journal of Audiology 58:11, pages 780-789.
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Articles from other publishers (7)

Mohamed Rahme, Paula Folkeard, Steve Beaulac, Susan Scollie & Vijay Parsa. (2023) Modified Multiple Stimulus With Hidden Reference and Anchors–Gabrielsson Total Impression Sound Quality Rating Comparisons for Speech in Quiet, Noise, and Reverberation. Journal of Speech, Language, and Hearing Research, pages 1-12.
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Ilja Reinten, Inge de Ronde-Brons, Rolph Houben & Wouter Dreschler. (2023) Individual Listener Preference for Strength of Single-Microphone Noise-Reduction; Trade-off Between Noise Tolerance and Signal Distortion Tolerance. Trends in Hearing 27.
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Yuyong Kang, Nengheng Zheng & Qinglin Meng. (2021) Deep Learning-Based Speech Enhancement With a Loss Trading Off the Speech Distortion and the Noise Residue for Cochlear Implants. Frontiers in Medicine 8.
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Chanbeom Kwak & Woojae Han. (2021) A Systematic Review and Meta-Analysis for Better Measurement of Listening Effort in Adults with Hearing Loss. Audiology and Speech Research 17:1, pages 1-14.
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Ilja Reinten, Inge De Ronde-Brons, Rolph Houben & Wouter Dreschler. (2021) Measuring the Influence of Noise Reduction on Listening Effort in Hearing-Impaired Listeners Using Response Times to an Arithmetic Task in Noise. Trends in Hearing 25, pages 233121652110144.
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Anusha Yellamsetty, Erol J. Ozmeral, Robert A. Budinsky & David A. Eddins. (2021) A Comparison of Environment Classification Among Premium Hearing Instruments. Trends in Hearing 25, pages 233121652098096.
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Rainer Huber, Melanie Krüger & Bernd T. Meyer. (2018) Single-ended prediction of listening effort using deep neural networks. Hearing Research 359, pages 40-49.
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