Evidence map›Paper›PMID 33335098›Full record

ArticleScientific data2020

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

Tim Fischer, Marco Caversaccio, Wilhelm Wimmer

Abstract readDataset
In one paragraph

Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Cutaneous Alternating Current Stimulation Can Cause a Phasic Modulation of Speech Perception.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  3. MYRiAD: a multi-array room acoustic database.EURASIP journal on audio, speech, and music processing · 2023
    Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Tim FischerDepartment of ENT, Head and Neck Surgery, Inselspital, Bern University Hospital, University of Bern, Bern, 3008, Switzerland. tim.fischer@artorg.unibe.ch.ORCID 0000-0003-4584-6096
Marco CaversaccioDepartment of ENT, Head and Neck Surgery, Inselspital, Bern University Hospital, University of Bern, Bern, 3008, Switzerland.ORCID 0000-0002-7090-8087
Wilhelm WimmerDepartment of ENT, Head and Neck Surgery, Inselspital, Bern University Hospital, University of Bern, Bern, 3008, Switzerland. wilhelm.wimmer@insel.ch.ORCID 0000-0001-5392-2074

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Cochlear ImplantsHearingHearing AidsNoiseAcousticsHumans

Identifiers

PMID33335098
PMCPMC7747630

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.