Evidence map›Paper›PMID 34598642›Full record

ArticleThe Journal of the Acoustical Society of America2021

Modulation masking and fine structure shape neural envelope coding to predict speech intelligibility across diverse listening conditions.

Vibha Viswanathan, Hari M Bharadwaj, Barbara G Shinn-Cunningham, Michael G Heinz

Open access · greenAbstract read
In one paragraph

Article in The Journal of the Acoustical Society of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% of its field
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Prediction from Statistical Learning Aids Auditory Scene Analysis.bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Individual differences elucidate the perceptual benefits associated with robust temporal fine-structure processing.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Speech Categorization Reveals the Role of Early-Stage Temporal-Coherence Processing in Auditory Scene Analysis.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  11. Article
  12. Article
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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

4 authors at 2 institutions in 1 country.

Vibha ViswanathanWeldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana 47907, USA.ORCID s000000023475421X
Hari M BharadwajDepartment of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, Indiana 47907, USA.ORCID s0000000186859630
Barbara G Shinn-CunninghamNeuroscience Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA.ORCID s0000000250965914
Michael G HeinzDepartment of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, Indiana 47907, USA.ORCID s000000021524402X
Purdue University West Lafayette · USCarnegie Mellon University · US

Funding

Effects of Sensorineural Hearing Loss on Robust Speech CodingR01DC009838 · NIDCD · PURDUE UNIVERSITY · PI Michael G Heinz · 2009 to 2026
$6.1M
Individualized assays of supra-threshold hearing deficitsR01DC015989 · NIDCD · PURDUE UNIVERSITY · PI HEINZ, MICHAEL G · 2017 to 2021
$1.9M
Individual differences in supra-threshold sound encodingR01DC013825 · NIDCD · CARNEGIE-MELLON UNIVERSITY · PI SHINN-CUNNINGHAM, BARBARA · 2015 to 2019
$1.7M
Neurophysiological Mechanisms of Speech Intelligibility in Noise - A Quantitative FrameworkF31DC017381 · NIDCD · PURDUE UNIVERSITY · PI VISWANATHAN, VIBHA · 2018 to 2020
$134k
NIDCD NIH HHS F31 DC017381NIDCD NIH HHS R01 DC009838NIDCD NIH HHS R01 DC013825NIDCD NIH HHS R01 DC015989
6 · The paper itself

Abstract

A fundamental question in the neuroscience of everyday communication is how scene acoustics shape the neural processing of attended speech sounds and in turn impact speech intelligibility. While it is well known that the temporal envelopes in target speech are important for intelligibility, how the neural encoding of target-speech envelopes is influenced by background sounds or other acoustic features of the scene is unknown. Here, we combine human electroencephalography with simultaneous intelligibility measurements to address this key gap. We find that the neural envelope-domain signal-to-noise ratio in target-speech encoding, which is shaped by masker modulations, predicts intelligibility over a range of strategically chosen realistic listening conditions unseen by the predictive model. This provides neurophysiological evidence for modulation masking. Moreover, using high-resolution vocoding to carefully control peripheral envelopes, we show that target-envelope coding fidelity in the brain depends not only on envelopes conveyed by the cochlea, but also on the temporal fine structure (TFS), which supports scene segregation. Our results are consistent with the notion that temporal coherence of sound elements across envelopes and/or TFS influences scene analysis and attentive selection of a target sound. Our findings also inform speech-intelligibility models and technologies attempting to improve real-world speech communication.

Indexed as

Speech IntelligibilitySpeech PerceptionAcousticsAcoustic StimulationAuditory PerceptionHumansPerceptual MaskingSignal-To-Noise Ratio

Identifiers

PMID34598642
PMCPMC8483789
OpenAlexW3201680390

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.