Evidence map›Paper›PMID 39655945›Full record

ArticleThe Journal of the Acoustical Society of America2024

Impact of reduced spectral resolution on temporal-coherence-based source segregation.

Vibha Viswanathan, Michael G Heinz, Barbara G Shinn-Cunningham

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Prediction from Statistical Learning Aids Auditory Scene Analysis.bioRxiv : the preprint server for biology · 2026
    Article
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Vibha ViswanathanNeuroscience Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA.ORCID 0000-0002-3475-421X
Michael G HeinzDepartment of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, Indiana 47907, USA.ORCID 0000-0002-1524-402X
Barbara G Shinn-CunninghamNeuroscience Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA.ORCID 0000-0002-5096-5914

Funding

Effects of Sensorineural Hearing Loss on Robust Speech CodingR01DC009838 · NIDCD · PURDUE UNIVERSITY · PI Michael G Heinz · 2009 to 2026
$6.1M
Cortical processing of informational maskingR01DC019126 · NIDCD · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI SHINN-CUNNINGHAM, BARBARA · 2020 to 2025
$1.3M
Flexible representation of speech in human auditory cortexF32DC020649 · NIDCD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI VISWANATHAN, VIBHA · 2022 to 2022
$33k
NIDCD NIH HHS F32 DC020649NIDCD NIH HHS R01 DC009838NIDCD NIH HHS R01 DC019126
6 · The paper itself

Abstract

Hearing-impaired listeners struggle to understand speech in noise, even when using cochlear implants (CIs) or hearing aids. Successful listening in noisy environments depends on the brain's ability to organize a mixture of sound sources into distinct perceptual streams (i.e., source segregation). In normal-hearing listeners, temporal coherence of sound fluctuations across frequency channels supports this process by promoting grouping of elements belonging to a single acoustic source. We hypothesized that reduced spectral resolution-a hallmark of both electric/CI (from current spread) and acoustic (from broadened tuning) hearing with sensorineural hearing loss-degrades segregation based on temporal coherence. This is because reduced frequency resolution decreases the likelihood that a single sound source dominates the activity driving any specific channel; concomitantly, it increases the correlation in activity across channels. Consistent with our hypothesis, our physiologically inspired computational model of temporal-coherence-based segregation predicts that CI current spread reduces comodulation masking release (CMR; a correlate of temporal-coherence processing) and speech intelligibility in noise. These predictions are consistent with our online behavioral data with simulated CI listening. Our model also predicts smaller CMR with increasing levels of outer-hair-cell damage. These results suggest that reduced spectral resolution relative to normal hearing impairs temporal-coherence-based segregation and speech-in-noise outcomes.

Indexed as

Cochlear ImplantsNoisePerceptual MaskingSpeech IntelligibilitySpeech PerceptionAcoustic StimulationAdultAuditory ThresholdHearing Loss, SensorineuralHumansTime Factors

Identifiers

PMID39655945
PMCPMC11637563

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.