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Updated: Jan 6, 2026

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
Published on: September 27, 2024
Acoustic voice variation within and between speakers
Yoonjeong Lee1, Patricia Keating2, Jody Kreiman1
1Department of Head and Neck Surgery, UCLA School of Medicine, 1000 Veteran Avenue, Los Angeles, California 90095-1794, USA.
Understanding voice quality variation is key. Most voice differences across people are unique, though acoustic structures remain similar, impacting voice perception models.
Area of Science:
- Acoustic phonetics
- Speech perception
- Speaker recognition
Background:
- Everyday voice quality variability is not well understood.
- Current models of voice perception lack detailed understanding of within-talker acoustic variation.
- Hypotheses based on face perception and cognitive models suggest common and idiosyncratic voice features.
Purpose of the Study:
- To explore within- and between-talker acoustic variation in voice quality.
- To determine how acoustic variation aligns with current voice perception models.
- To investigate the structure of individual and population voice spaces.
Main Methods:
- Principal component analyses (PCA) were used.
- Multiple sentence productions from 100 English speakers (50 female, 50 male) were recorded over three days.
- Twenty-six acoustic variables were measured every 5 ms on vowels and approximants.
Main Results:
- The balance between harmonic amplitudes and inharmonic energy explained the most between-speaker variance (20% females, 22% males).
- Formant frequencies and their variability accounted for an additional 12% of between-speaker variance.
- Most remaining acoustic variance was idiosyncratic, but individual and population voice spaces shared similar acoustic structures.
Conclusions:
- A significant portion of voice variability is unique to each speaker.
- Despite individual differences, the underlying acoustic structure of voice spaces is consistent across speakers.
- Findings have implications for prototype models of voice perception and recognition.
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