Multichannel acoustic source and image dataset for the cocktail party effect in hearing aid and implant users.


Journal

Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192

Informations de publication

Date de publication:
17 12 2020
Historique:
received: 14 08 2020
accepted: 19 11 2020
entrez: 18 12 2020
pubmed: 19 12 2020
medline: 14 1 2021
Statut: epublish

Résumé

The Cocktail Party Effect refers to the ability of the human sense of hearing to extract a specific target sound source from a mixture of background noises in complex acoustic scenarios. The ease with which normal hearing people perform this challenging task is in stark contrast to the difficulties that hearing-impaired subjects face in these situations. To help patients with hearing aids and implants, scientists are trying to imitate this ability of human hearing, with modest success so far. To support the scientific community in its efforts, we provide the Bern Cocktail Party (BCP) dataset consisting of 55938 Cocktail Party scenarios recorded from 20 people and a head and torso simulator wearing cochlear implant audio processors. The data were collected in an acoustic chamber with 16 synchronized microphones placed at purposeful positions on the participants' heads. In addition to the multi-channel audio source and image recordings, the spatial coordinates of the microphone positions were digitized for each participant. Python scripts were provided to facilitate data processing.

Identifiants

pubmed: 33335098
doi: 10.1038/s41597-020-00777-8
pii: 10.1038/s41597-020-00777-8
pmc: PMC7747630
doi:

Types de publication

Dataset Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

440

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Auteurs

Tim Fischer (T)

Department of ENT, Head and Neck Surgery, Inselspital, Bern University Hospital, University of Bern, Bern, 3008, Switzerland. tim.fischer@artorg.unibe.ch.
Hearing Research Laboratory, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, 3008, Switzerland. tim.fischer@artorg.unibe.ch.

Marco Caversaccio (M)

Department of ENT, Head and Neck Surgery, Inselspital, Bern University Hospital, University of Bern, Bern, 3008, Switzerland.
Hearing Research Laboratory, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, 3008, Switzerland.

Wilhelm Wimmer (W)

Department of ENT, Head and Neck Surgery, Inselspital, Bern University Hospital, University of Bern, Bern, 3008, Switzerland. wilhelm.wimmer@insel.ch.
Hearing Research Laboratory, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, 3008, Switzerland. wilhelm.wimmer@insel.ch.

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Classifications MeSH