Evidence map›Paper›PMID 34693853›Full record

ArticleTrends in hearing

The Listener Effect in Multitalker Speech Segregation and Talker Identification.

Robert A Lutfi, Briana Rodriguez, Jungmee Lee

Abstract read
In one paragraph

Article in Trends in hearing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Simultaneous relative cue reliance in speech-on-speech masking.The Journal of the Acoustical Society of America · 2023
    Article
  2. Cues to reduce modulation informational masking.The Journal of the Acoustical Society of America · 2023
    Article
  3. Molecular analysis of individual differences in talker search at the cocktail-party.The Journal of the Acoustical Society of America · 2022
    Article
  4. Article
  5. 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.

Robert A LutfiAuditory Behavioral Research Lab, Department of Communication Sciences and Disorders, 138455University of South Florida, Tampa, Florida.ORCID 0000-0003-0847-4342
Briana RodriguezAuditory Behavioral Research Lab, Department of Communication Sciences and Disorders, 138455University of South Florida, Tampa, Florida.
Jungmee LeeAuditory Behavioral Research Lab, Department of Communication Sciences and Disorders, 138455University of South Florida, Tampa, Florida.

Funding

The Information in Auditory PatternsR01DC001262 · NIDCD · UNIVERSITY OF WISCONSIN-MADISON · PI LUTFI, ROBERT A · 1991 to 2023
$6.3M
NIDCD NIH HHS R01 DC001262
6 · The paper itself

Abstract

Over six decades ago, Cherry (1953) drew attention to what he called the "cocktail-party problem"; the challenge of segregating the speech of one talker from others speaking at the same time. The problem has been actively researched ever since but for all this time one observation has eluded explanation. It is the wide variation in performance of individual listeners. That variation was replicated here for four major experimental factors known to impact performance: differences in task (talker segregation vs. identification), differences in the voice features of talkers (pitch vs. location), differences in the voice similarity and uncertainty of talkers (informational masking), and the presence or absence of linguistic cues. The effect of these factors on the segregation of naturally spoken sentences and synthesized vowels was largely eliminated in psychometric functions relating the performance of individual listeners to that of an ideal observer,

Indexed as

SpeechSpeech PerceptionCuesHumansLanguageMalecocktail-party problemlistener effect

Identifiers

PMID34693853
PMCPMC8544763

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.