Skip to main content

Research Repository

Advanced Search

Clarity-2021 challenges : machine learning challenges for advancing hearing aid processing

Graetzer, SN; Barker, J; Cox, TJ; Akeroyd, M; Culling, JF; Naylor, G; Porter, E; Viveros Munoz, R

Clarity-2021 challenges : machine learning challenges for advancing hearing aid processing Thumbnail


Authors

J Barker

M Akeroyd

JF Culling

G Naylor

E Porter

R Viveros Munoz



Abstract

In recent years, rapid advances in speech technology have been made possible by machine learning challenges such as CHiME, REVERB, Blizzard, and Hurricane. In the Clarity project, the machine learning approach is applied to the problem of hearing aid processing of speech-in-noise, where current technology in enhancing the speech signal for the hearing aid wearer is often ineffective. The scenario is a (simulated) cuboid-shaped living room in which there is a single listener, a single target speaker and a
single interferer, which is either a competing talker or domestic noise. All sources are static, the target is always within ±30◦ azimuth of the listener and at the same elevation, and the interferer is an omnidirectional point source at the same elevation. The target speech comes from an open source 40- speaker British English speech database collected for this purpose. This paper provides a baseline description of the round one Clarity challenges for both enhancement (CEC1) and prediction (CPC1). To the authors’ knowledge, these are the first machine learning challenges to consider the problem of hearing aid speech signal processing

Citation

Graetzer, S., Barker, J., Cox, T., Akeroyd, M., Culling, J., Naylor, G., …Viveros Munoz, R. (2021). Clarity-2021 challenges : machine learning challenges for advancing hearing aid processing. https://doi.org/10.21437/Interspeech.2021-1574

Journal Article Type Conference Paper
Conference Name Interspeech 2021
Conference Location Brno, Czechia
Start Date Aug 30, 2023
End Date Sep 3, 2021
Acceptance Date Jun 2, 2021
Publication Date Sep 3, 2021
Deposit Date Nov 26, 2021
Publicly Available Date Nov 26, 2021
Journal Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Print ISSN 2308-457X
Volume 2
Pages 686-690
Book Title Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
ISBN 9781713836902
DOI https://doi.org/10.21437/Interspeech.2021-1574
Publisher URL http://dx.doi.org/10.21437/Interspeech.2021-1574
Related Public URLs https://doi.org/10.21437/Interspeech.2021
https://www.isca-speech.org/iscaweb/index.php/conferences
Additional Information Access Information : Data relating to this paper can be accessed at https://doi.org/10.17866/rd.salford.16918180
Event Type : Conference

Files

Clarity-2021 challenges Machine learning challenges Interspeech 2021.pdf (233 Kb)
PDF






You might also like



Downloadable Citations