Evidence map›Paper›PMID 30710924›Full record

ArticleThe Journal of the Acoustical Society of America2019

Determining the energetic and informational components of speech-on-speech masking in listeners with sensorineural hearing loss.

Gerald Kidd, Christine R Mason, Virginia Best, Elin Roverud, Jayaganesh Swaminathan, Todd Jennings, Kameron Clayton, H Steven Colburn

Abstract read
In one paragraph

Article in The Journal of the Acoustical Society of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Effects of reverberation and binaural sensitivity on spatial release from masking.The Journal of the Acoustical Society of America · 2025
    Article
  3. Article
  4. Interference of Mid-level Speech and Noise Statistics Underlies Human Speech Recognition Sensitivity in Natural Environmental Noise.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. The effects of target-masker sex mismatch on linguistic release from masking.The Journal of the Acoustical Society of America · 2020
    Article
  18. Article
  19. Article
  20. Can background noise increase the informational masking in a speech mixture?The Journal of the Acoustical Society of America · 2020
    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

8 authors.

Gerald KiddDepartment of Speech, Language and Hearing Sciences, Boston University, Boston, Massachusetts 02215, USA.
Christine R MasonDepartment of Speech, Language and Hearing Sciences, Boston University, Boston, Massachusetts 02215, USA.
Virginia BestDepartment of Speech, Language and Hearing Sciences, Boston University, Boston, Massachusetts 02215, USA.
Elin RoverudDepartment of Speech, Language and Hearing Sciences, Boston University, Boston, Massachusetts 02215, USA.
Jayaganesh SwaminathanDepartment of Speech, Language and Hearing Sciences, Boston University, Boston, Massachusetts 02215, USA.
Todd JenningsDepartment of Speech, Language and Hearing Sciences, Boston University, Boston, Massachusetts 02215, USA.
Kameron ClaytonDepartment of Speech, Language and Hearing Sciences, Boston University, Boston, Massachusetts 02215, USA.
H Steven ColburnDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts 02215, USA.

Funding

BINAURAL HEARINGR01DC000100 · NIDCD · BOSTON UNIVERSITY MEDICAL CAMPUS · PI COLBURN, HARRY STEVEN · 1989 to 2019
$9.6M
CENTRAL FACTORS IN AUDITORY MASKINGR01DC004545 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI KIDD, GERALD, JR · 2000 to 2021
$9.0M
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 DC000100NIDCD NIH HHS R01 DC004545NIDCD NIH HHS R01 DC013286
6 · The paper itself

Abstract

The ability to identify the words spoken by one talker masked by two or four competing talkers was tested in young-adult listeners with sensorineural hearing loss (SNHL). In a reference/baseline condition, masking speech was colocated with target speech, target and masker talkers were female, and the masker was intelligible. Three comparison conditions included replacing female masker talkers with males, time-reversal of masker speech, and spatial separation of sources. All three variables produced significant release from masking. To emulate energetic masking (EM), stimuli were subjected to ideal time-frequency segregation retaining only the time-frequency units where target energy exceeded masker energy. Subjects were then tested with these resynthesized "glimpsed stimuli." For either two or four maskers, thresholds only varied about 3 dB across conditions suggesting that EM was roughly equal. Compared to normal-hearing listeners from an earlier study [Kidd, Mason, Swaminathan, Roverud, Clayton, and Best, J. Acoust. Soc. Am. 140, 132-144 (2016)], SNHL listeners demonstrated both greater energetic and informational masking as well as higher glimpsed thresholds. Individual differences were correlated across masking release conditions suggesting that listeners could be categorized according to their general ability to solve the task. Overall, both peripheral and central factors appear to contribute to the higher thresholds for SNHL listeners.

Indexed as

Speech PerceptionAdolescentAdultAuditory ThresholdFemaleHearing Loss, SensorineuralHumansMalePerceptual Masking

Identifiers

PMID30710924
PMCPMC6347574

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.