Evidence map›Paper›PMID 40045944›Full record

ArticleInterspeech2022

Effects of laryngeal manipulations on voice gender perception.

Zhaoyan Zhang, Jason Zhang, Jody Kreiman

Abstract read
In one paragraph

Article in Interspeech, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Principal dimensions of voice production and their role in vocal expression.The Journal of the Acoustical Society of America · 2024
    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.

Zhaoyan ZhangDepartment of Head and Neck Surgery, University of California, Los Angles.
Jason ZhangDepartment of Head and Neck Surgery, University of California, Los Angles.
Jody KreimanDepartment of Head and Neck Surgery, University of California, Los Angles.

Funding

TOWARD STANDARDIZING PERCEPTUAL VOICE-QUALITY MEASURESR01DC001797 · NIDCD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KREIMAN, JODY E, ZHANG, ZHAOYAN · 1993 to 2020
$10.3M
Sound Sources of PhonationR01DC009229 · NIDCD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BERKE, GERALD S., ZHANG, ZHAOYAN · 2008 to 2017
$4.5M
NIDCD NIH HHS R01 DC001797NIDCD NIH HHS R01 DC009229
6 · The paper itself

Abstract

This study aims to identify laryngeal manipulations that would allow a male to approximate a female-sounding voice, and that can be targeted in voice feminization surgery or therapy. Synthetic voices were generated using a three-dimensional vocal fold model with parametric variations in vocal fold geometry, stiffness, adduction, and subglottal pressure. The vocal tract was kept constant in order to focus on the contribution of laryngeal manipulations. Listening subjects were asked to judge if a voice sounded male or female, or if they were unsure. Results showed the expected large effect of the fundamental frequency (F0) and a moderate effect of spectral shape on gender perception. A mismatch between F0 and spectral shape cues (e.g., low F0 paired with high H1-H2) contributed to ambiguity in gender perception, particularly for voices with F0 in the intermediate range between those of typical adult males and females. Physiologically, the results showed that a female-sounding voice can be produced by decreasing vocal fold thickness and increasing vocal fold transverse stiffness in the coronal plane, changes in which modified both F0 and spectral shape. In contrast, laryngeal manipulations with limited impact on F0 or spectral shape were shown to be less effective in modifying gender perception.

Indexed as

gender perceptionlaryngeal manipulationtransgender voicevocal fold thickness

Identifiers

PMID40045944
PMCPMC11881700

What OpenQuestion holds

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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.