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Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
Published on: September 27, 2024
Prosodic changes with age: a longitudinal study with three public figures in European Portuguese
Ana Rita S Valente1,2,3, Catarina Oliveira1,4, Luciana Albuquerque1,2,5
1Institute of Electronics and Informatics Engineering of Aveiro, University of Aveiro, Aveiro, Portugal.
Older adults exhibit distinct speech patterns, including lower pitch, increased vocal effort, slower speech, and longer pauses, impacting human communication across the lifespan. This research analyzes prosodic features in European Portuguese speakers over 30 years.
Area of Science:
- Linguistics
- Acoustics
- Gerontology
Background:
- Acoustic parameter analysis is crucial for understanding human communication development.
- Suprasegmental features of speech change throughout the human lifespan.
- Longitudinal studies are vital for tracking developmental changes in communication.
Purpose of the Study:
- To analyze suprasegmental features of European Portuguese in longitudinal conversational speech.
- To investigate age-related changes in prosodic parameters in male public figures.
- To examine speech characteristics across approximately 30 years of aging.
Main Methods:
- Semi-automatic extraction of twenty prosodic features (intonation, intensity, rhythm, pauses).
- Analysis of 360 speech intervals from three male speakers across different age groups.
- Longitudinal data collection from conversational speech samples in uncontrolled environments.
Main Results:
- Twelve prosodic parameters showed significant age effects in at least one speaker.
- Significant differences observed between 50-year-old and 80-year-old age groups in seven parameters.
- Older speakers exhibited lower/less variable fundamental frequency (fo), higher fo minimum, wider fo peaks, increased vocal effort, more variable intensity, slower speech/articulation rates, and more frequent/longer pauses.
Conclusions:
- The study characterizes normal aging in speech, identifying specific prosodic changes.
- Findings are significant for human-machine communication and speech recognition systems.
- Results can inform strategies for communication with older adults and applied linguistics.
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