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Related Experiment Video

Updated: Sep 21, 2025

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
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Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

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Acoustic voice variation in spontaneous speech.

Yoonjeong Lee1, Jody Kreiman1

  • 1Department of Head and Neck Surgery, David Geffen School of Medicine at UCLA, Los Angeles, California 90095-1794, USA.

The Journal of the Acoustical Society of America
|June 1, 2022
PubMed
Summary

This study found that acoustic voice spaces in spontaneous speech are similar to read speech. Fundamental frequency variability was a key differentiator in spontaneous speech, impacting speaker recognition models.

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Area of Science:

  • Acoustic phonetics
  • Speech processing
  • Speaker recognition

Background:

  • Previous research indicated similar acoustic voice spaces for male and female talkers in read speech.
  • The acoustic voice space describes the range and distribution of voice characteristics.

Purpose of the Study:

  • To replicate and extend findings on acoustic voice variation in read speech.
  • To compare acoustic voice spaces derived from spontaneous speech versus read speech.
  • To investigate the role of fundamental frequency variability in spontaneous speech.

Main Methods:

  • Principal component analysis (PCA) applied to acoustic indices of voice quality.
  • Analysis of phone conversations from 99/100 talkers previously studied.
  • Comparison of acoustic voice spaces from spontaneous and read speech data.

Main Results:

  • Acoustic voice spaces from spontaneous speech closely resemble those from read speech.
  • Variability in fundamental frequency significantly contributed to acoustic variability in spontaneous speech, unlike in read speech.
  • The findings support the robustness of acoustic voice spaces across speech types.

Conclusions:

  • Acoustic voice spaces are largely consistent between read and spontaneous speech.
  • Fundamental frequency variability is a crucial factor in spontaneous speech analysis.
  • These insights can refine prototype models for speaker recognition and discrimination.