Evidence map›Paper›PMID 33379918›Full record

ArticleThe Journal of the Acoustical Society of America2020

Enhancing the perceptual segregation and localization of sound sources with a triple beamformer.

Gerald Kidd, Todd R Jennings, Andrew J Byrne

Abstract read
In one paragraph

Article in The Journal of the Acoustical Society of America, 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.

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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.

Gerald KiddDepartment of Speech, Language and Hearing Sciences and Hearing Research Center, Boston University, 635 Commonwealth Avenue, Boston, Massachusetts 02215, USA.
Todd R JenningsDepartment of Speech, Language and Hearing Sciences and Hearing Research Center, Boston University, 635 Commonwealth Avenue, Boston, Massachusetts 02215, USA.
Andrew J ByrneDepartment of Speech, Language and Hearing Sciences and Hearing Research Center, Boston University, 635 Commonwealth Avenue, Boston, Massachusetts 02215, USA.

Funding

Top-Down Control of Selective AmplificationR01DC013286 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI BEST, VIRGINIA ANN, KIDD, GERALD, JR · 2014 to 2023
$6.0M
NIDCD NIH HHS R01 DC013286
6 · The paper itself

Abstract

A triple beamformer was developed to exploit the capabilities of the binaural auditory system. The goal was to enhance the perceptual segregation of spatially separated sound sources while preserving source localization. The triple beamformer comprised a variant of a standard single-channel beamformer that routes the primary beam output focused on the target source location to both ears. The triple beam algorithm adds two supplementary beams with the left-focused beam routed only to the left ear and the right-focused beam routed only to the right ear. The rationale for the approach is that the triple beam processing exploits sound source segregation in high informational masking (IM) conditions. Furthermore, the exaggerated interaural level differences produced by the triple beam are well-suited for categories of listeners (e.g., bilateral cochlear implant users) who receive limited benefit from interaural time differences. The performance with the triple beamformer was compared to normal binaural hearing (simulated using a Knowles Electronic Manikin for Auditory Research, G.R.A.S. Sound and Vibration, Holte, DK) and to that obtained from a single-channel beamformer. Source localization in azimuth and masked speech identification for multiple masker locations were measured for all three algorithms. Taking both localization and speech intelligibility into account, the triple beam algorithm was considered to be advantageous under high IM listening conditions.

Indexed as

Cochlear ImplantationCochlear ImplantsSound LocalizationSpeech PerceptionPerceptual MaskingSpeech Intelligibility

Identifiers

PMID33379918
PMCPMC8097713

What OpenQuestion holds

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Registered trials

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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.