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

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...

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Bibliographic Details
Published in:Scientific data Vol. 7; no. 1; pp. 440 - 13
Main Authors: Fischer, Tim, Caversaccio, Marco, Wimmer, Wilhelm
Format: Journal Article
Language:English
Published: London Nature Publishing Group UK 17.12.2020
Nature Publishing Group
Nature Portfolio
Subjects:
631/114/1305
631/378/2619
639/166/985
639/705/117
Acoustics
Cochlea
Cochlear Implants
Data Descriptor
Hearing
Hearing Aids
Humanities and Social Sciences
Humans
multidisciplinary
Noise
Science
Science (multidisciplinary)
Transplants & implants
ISSN:2052-4463, 2052-4463
Online Access:Get full text
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Summary: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. Measurement(s) acoustic Cocktail Party scenarios • acoustic composition of speech • Noise Technology Type(s) head-mounted microphones Factor Type(s) head shape of the participants • acoustic Cocktail Party scenarios played Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.13181921
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ISSN:2052-4463
2052-4463
DOI:10.1038/s41597-020-00777-8