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Published on: September 27, 2024
Race Identification in American English
Yolanda Feimster Holt1, Tessa Bent2, Melissa Baese-Berk3
1Department of Communication Sciences and Disorders, East Carolina University, Greenville, NC.
Listeners accurately identified speaker race in North Carolina dialects. However, West North Carolina Black speakers were harder to identify, suggesting shared speech patterns influence race categorization.
Area of Science:
- Sociolinguistics
- Acoustic Phonetics
- Race and Speech Perception
Background:
- Race identification is influenced by linguistic cues.
- Southern American English dialects exhibit regional variations.
- Acoustic properties of speech can correlate with social identity.
Purpose of the Study:
- To investigate how self-identified race, dialect region, and acoustic speech features impact race categorization of Southern American English speakers.
- To determine if listeners can accurately identify the race of speakers from different regions of North Carolina.
- To explore the role of acoustic variables in listener race categorization.
Main Methods:
- Listeners from Southern (North Carolina) and Midland (Indiana) regions participated.
- Participants heard /hVd/ words produced by Black and White talkers from East and West North Carolina.
- Listener accuracy in categorizing speaker race was analyzed.
Main Results:
- Listeners accurately categorized speaker race above chance across all groups.
- West North Carolina Black talkers were categorized with the lowest accuracy, only slightly above chance.
- Accuracy differences suggest dialectal similarities influence race perception.
Conclusions:
- Speech production similarities between Black and White talkers in West North Carolina affect the racial categorization of Black speakers.
- Acoustic spectral features of speech are implicated in these categorization patterns.
- Findings highlight the complex interplay between dialect, acoustic properties, and race perception.
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