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Related Experiment Video

Updated: May 1, 2026

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

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

Published on: September 27, 2024

Speaker-individuality in suprasegmental temporal features: Implications for forensic voice comparison.

Adrian Leemann¹, Marie-José Kolly¹, Volker Dellwo¹

¹Phonetics Laboratory, Department of Comparative Linguistics, University of Zurich, Plattenstrasse 54, 8032 Zürich, Switzerland.

Forensic Science International

|March 29, 2014

Summary

Suprasegmental temporal features in speech reliably distinguish speakers, even with varying speaking styles and mobile phone distortions. These voice characteristics show potential for forensic speaker identification.

Keywords:

Channel variability.Prosody Speaker-individuality Speaking style variability Suprasegmental temporal features

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Area of Science:

Phonetics
Forensic Linguistics
Acoustic Analysis

Background:

Human voice possesses unique characteristics enabling speaker recognition.
Suprasegmental temporal features are key acoustic elements of speech.
Forensic casework often involves varied speaking styles and degraded audio quality.

Purpose of the Study:

To investigate the role of suprasegmental temporal features in speaker individuality.
To assess the impact of speaking style and channel variability on these features.
To evaluate the utility of suprasegmental temporal features for forensic voice comparison.

Main Methods:

Analysis of suprasegmental temporal features in spontaneous and read speech.
Experimentation with high-quality and mobile phone-transmitted audio recordings.
Utilizing data from a homogeneous group of Zurich German speakers.

Main Results:

High between-speaker variability was observed in suprasegmental temporal features.
Low within-speaker variability was found across different speaking styles.
Mobile phone transmission introduced minimal distortion to these temporal characteristics.

Conclusions:

Suprasegmental temporal features are robust indicators of speaker individuality.
These features remain reliable despite variations in speaking style and common transmission distortions.
Suprasegmental temporal features hold significant promise for forensic voice comparison applications.