Evidence map›Paper›PMID 31255108›Full record

ArticleThe Journal of the Acoustical Society of America2019

The optimal threshold for removing noise from speech is similar across normal and impaired hearing-a time-frequency masking study.

Eric W Healy, Jordan L Vasko, DeLiang Wang

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. An ideal quantized mask to increase intelligibility and quality of speech in noise.The Journal of the Acoustical Society of America · 2018
    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.

Eric W HealyDepartment of Speech and Hearing Science, and Center for Cognitive and Brain Sciences, The Ohio State University, Columbus, Ohio 43210, USAHealy.66@osu.edu, Vasko.30@osu.edu.
Jordan L VaskoDepartment of Speech and Hearing Science, and Center for Cognitive and Brain Sciences, The Ohio State University, Columbus, Ohio 43210, USAHealy.66@osu.edu, Vasko.30@osu.edu.
DeLiang WangDepartment of Computer Science and Engineering, and Center for Cognitive and Brain Sciences, The Ohio State University, Columbus, Ohio 43210, USADwang@cse.ohio-state.edu.

Funding

Speech segregation to improve intelligility of reverberant-noisy speechR01DC012048 · NIDCD · OHIO STATE UNIVERSITY · PI WILLIAMSON, DONALD · 2013 to 2022
$3.3M
Improving intelligibility in noise for hearing-impaired listenersR01DC015521 · NIDCD · OHIO STATE UNIVERSITY · PI HEALY, ERIC W · 2016 to 2020
$1.6M
NIDCD NIH HHS R01 DC012048NIDCD NIH HHS R01 DC015521
6 · The paper itself

Abstract

Hearing-impaired listeners' intolerance to background noise during speech perception is well known. The current study employed speech materials free of ceiling effects to reveal the optimal trade-off between rejecting noise and retaining speech during time-frequency masking. This relative criterion value (-7 dB) was found to hold across noise types that differ in acoustic spectro-temporal complexity. It was also found that listeners with hearing impairment and those with normal hearing performed optimally at this same value, suggesting no true noise intolerance once time-frequency units containing speech are extracted.

Indexed as

NoiseAdultAuditory PerceptionAuditory ThresholdFemaleHearing LossHearing Loss, SensorineuralHumansSpeechSpeech PerceptionYoung Adult

Identifiers

PMID31255108
PMCPMC6786891

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.