Evidence map›Paper›PMID 33514184›Full record

ArticleThe Journal of the Acoustical Society of America2021

Additivity of segregation cues in simulated cocktail-party listening.

Briana Rodriguez, Jungmee Lee, Robert Lutfi

Abstract 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 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
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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

3 authors.

Briana RodriguezDepartment of Communication Sciences and Disorders, University of South Florida, Tampa, Florida 33620, USA.
Jungmee LeeDepartment of Communication Sciences and Disorders, University of South Florida, Tampa, Florida 33620, USA.
Robert LutfiDepartment of Communication Sciences and Disorders, University of South Florida, Tampa, Florida 33620, USA.

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

An approach is borrowed from Measurement Theory [Krantz et al. (1971). Foundations of Measurement (Academic, New York), Vol. 1] to evaluate the interaction of voice fundamental frequency and spatial cues in the segregation of talkers in simulated cocktail-party listening. The goal is to find a mathematical expression whereby the combined effect of cues can be simply related to their individual effects. On each trial, the listener judged whether an interleaved sequence of four vowel triplets (heard over headphones) were spoken by the same (MMM) or different (FMF) talkers. The talkers had nominally different fundamental frequencies and spoke from nominally different locations (simulated using head-related transfer functions). Natural variation in these cues was simulated by adding a small, random perturbation to the nominal values independently for each vowel on each trial. Psychometric functions (PFs) relating d' performance to the difference in nominal values were obtained for the cues presented individually and in combination. The results revealed a synergistic interaction of cues wherein the PFs for cues presented in combination exceeded the simple vector sum of the PFs for the cues presented individually. The results are discussed in terms of their implications for possible emergent properties of cues affecting performance in simulated cocktail-party listening.

Indexed as

CuesSpeech PerceptionVoiceAdolescentAdultAuditory PerceptionFemaleHumansMaleSpeechYoung Adult

Identifiers

PMID33514184
PMCPMC7787694

What OpenQuestion holds

Textmetadata
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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.