Evidence map›Paper›PMID 38829154›Full record

ArticleThe Journal of the Acoustical Society of America2024

Frequency importance functions in simulated bimodal cochlear-implant users with spectral holes.

Yang-Soo Yoon, Reagan Whitaker, Naomi White

Abstract read
In one paragraph

Article in The Journal of the Acoustical Society of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Yang-Soo YoonDepartment of Communication Sciences and Disorders, Baylor University, Waco, Texas 76798, USA.ORCID 0000-0003-1009-9318
Reagan WhitakerDepartment of Hearing and Speech Sciences, Vanderbilt University, Nashville, Tennessee 37232, USA.
Naomi WhiteDepartment of Communication Sciences and Disorders, Baylor University, Waco, Texas 76798, USA.

Funding

Speech Perception Enhancement Using Novel Signal Processing in Bimodal HearingR15DC019240 · NIDCD · BAYLOR UNIVERSITY · PI YOON, YANG-SOO · 2021 to 2021
$432k
NIDCD NIH HHS R15 DC019240
6 · The paper itself

Abstract

Frequency importance functions (FIFs) for simulated bimodal hearing were derived using sentence perception scores measured in quiet and noise. Acoustic hearing was simulated using low-pass filtering. Electric hearing was simulated using a six-channel vocoder with three input frequency ranges, resulting in overlap, meet, and gap maps, relative to the acoustic cutoff frequency. Spectral holes present in the speech spectra were created within electric stimulation by setting amplitude(s) of channels to zero. FIFs were significantly different between frequency maps. In quiet, the three FIFs were similar with gradually increasing weights with channels 5 and 6 compared to the first three channels. However, the most and least weighted channels slightly varied depending on the maps. In noise, the patterns of the three FIFs were similar to those in quiet, with steeper increasing weights with channels 5 and 6 compared to the first four channels. Thus, channels 5 and 6 contributed to speech perception the most, while channels 1 and 2 contributed the least, regardless of frequency maps. Results suggest that the contribution of cochlear implant frequency bands for bimodal speech perception depends on the degree of frequency overlap between acoustic and electric stimulation and if noise is absent or present.

Indexed as

Acoustic StimulationCochlear ImplantsElectric StimulationNoiseSpeech PerceptionAdultCochlear ImplantationHumansPerceptual MaskingPersons with Hearing Disabilities

Identifiers

PMID38829154
PMCPMC11151433

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.