Delimiting perceptual cues used for the ethnic labeling of African American and European American voices
Bibliographic Data
| ID | 7861465 |
|---|---|
| Authors | Elaine R Thomas (0000-0002-8737-4819, North Carolina State University), Erik R Thomas, Jeffrey Reaser (0000-0003-0275-9275, North Carolina State University) |
| Year | 2004 |
| Volume | 8 |
| Issue | 1 |
| Pages | 54-87 |
| Publication date | 2004-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Sociolinguistics (JOURNAL) |
| Journal identifiers | ISSN: 1360-6441 • E-ISSN: 1467-9841 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/j.1467-9841.2004.00251.x |
| OpenAlex | W1992613896 |
| Language | EN |
| Citations received | 40 |
| References cited | 49 |
A review of speech identification studies examining the abilities of listeners to distinguish African American and European American voices shows that Americans can recognize many African American voices with a high degree of accuracy even in the absence of stereotypical morphosyntactic and lexical features. Experiments to determine what cues listeners use to distinguish ethnicity have not yielded such consistent results, perhaps suggesting that listeners may access a wide variety of cues if necessary. An experiment involving African Americans with features of a European American vernacular demonstrated that African Americans with atypical features are difficult for listeners to identify. Analysis suggested that vowel quality and intonation could have misled respondents but did not rule out timing and voice quality as factors in identification
African american · American English · Ethnic group · Identification (biology · Intonation (linguistics · Linguistics · Perception · Quality (philosophy · Sociology · Variety (cybernetics · Computer Science · Linguistic Variation and Morphology · Phonetics and Phonology Research · Psychology · Speech Recognition and Synthesis
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| Unique citing works | 40 |
|---|---|
| Citations per year | 2,11 |
| Citation span | 2007 - 2026 (20) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 40 |