Evidence map›Paper›PMID 35649890›Full record

ArticleThe Journal of the Acoustical Society of America2022

Acoustic voice variation in spontaneous speech.

Yoonjeong Lee, Jody Kreiman

Abstract read
In one paragraph

Article in The Journal of the Acoustical Society of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. The Fundamental Frequency of Voice as a Potential Stress Biomarker: A Systematic Review and Meta-Analysis.Stress and health : journal of the International Society for the Investigation of Stress · 2025
    Pooled it
  2. Pooled it
  3. Review
  4. Talker change detection by listeners varying in age and hearing loss.The Journal of the Acoustical Society of America · 2024
    Article
  5. Multiple sources of acoustic variation affect speech processing efficiency.The Journal of the Acoustical Society of America · 2023
    Article
  6. 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

2 authors.

Yoonjeong LeeDepartment of Head and Neck Surgery, David Geffen School of Medicine at UCLA, Los Angeles, California 90095-1794, USA.ORCID 0000-0003-1323-049X
Jody KreimanDepartment of Head and Neck Surgery, David Geffen School of Medicine at UCLA, Los Angeles, California 90095-1794, USA.ORCID 0000-0002-5360-1729

Funding

TOWARD STANDARDIZING PERCEPTUAL VOICE-QUALITY MEASURESR01DC001797 · NIDCD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KREIMAN, JODY E, ZHANG, ZHAOYAN · 1993 to 2020
$10.3M
Neuromuscular control of the LarynxR01DC011300 · NIDCD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHHETRI, DINESH KHATRI · 2011 to 2021
$6.0M
NIDCD NIH HHS R01 DC001797NIDCD NIH HHS R01 DC011300
6 · The paper itself

Abstract

This study replicates and extends the recent findings of Lee, Keating, and Kreiman [J. Acoust. Soc. Am. 146(3), 1568-1579 (2019)] on acoustic voice variation in read speech, which showed remarkably similar acoustic voice spaces for groups of female and male talkers and the individual talkers within these groups. Principal component analysis was applied to acoustic indices of voice quality measured from phone conversations for 99/100 of the same talkers studied previously. The acoustic voice spaces derived from spontaneous speech are highly similar to those based on read speech, except that unlike read speech, variability in fundamental frequency accounted for significant acoustic variability. Implications of these findings for prototype models of speaker recognition and discrimination are considered.

Indexed as

SpeechVoiceAcousticsFemaleHumansMaleSpeech AcousticsVoice Quality

Identifiers

PMID35649890
PMCPMC9135459

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.