Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Vowel Formant Analysis× | Sociophonetic Analysis× | |
|---|---|---|
| Nyanja | Isimu | Isimu |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 1952 | 2006 |
| Mwanzilishi≠ | Acoustic phoneticians (Gordon Peterson & Harold Barney) | Sociophoneticians (William Labov; Paul Foulkes; Erik R. Thomas) |
| Aina≠ | Acoustic measurement workflow for vowel quality | Workflow correlating acoustic phonetic measurement with social factors |
| Chanzo asilia≠ | Peterson, G. E., & Barney, H. L. (1952). Control methods used in a study of the vowels. Journal of the Acoustical Society of America, 24(2), 175–184. DOI ↗ | Foulkes, P., Scobbie, J. M., & Watt, D. (2010). Sociophonetics. In W. J. Hardcastle, J. Laver, & F. E. Gibbon (Eds.), The Handbook of Phonetic Sciences (2nd ed., pp. 703–754). Wiley-Blackwell. ISBN: 9781405145909 |
| Majina mbadala | Formant Analysis, Vowel Acoustic Analysis, F1-F2 Vowel Space Analysis | Sociophonetics, Sociophonetic Variation Analysis, Phonetic Variation Analysis |
| Zinazohusiana | 4 | 4 |
| Muhtasari≠ | Vowel formant analysis is the acoustic measurement workflow for characterizing vowel quality. Vowels are resonances of the vocal tract, and their identity is carried by the formants — the spectral peaks created by those resonances. The first formant F1 is inversely related to vowel height (low F1 for high vowels, high F1 for low vowels), and the second formant F2 tracks frontness/backness (high F2 for front vowels, low F2 for back vowels). By measuring F1 and F2, plotting vowels in the F1×F2 acoustic space, and normalizing across speakers with procedures such as Lobanov, Bark, and Nearey, analysts obtain a reproducible map of a vowel system that can be compared within and across speakers, dialects, and time. | Sociophonetic analysis sits at the intersection of acoustic phonetics and variationist sociolinguistics. It applies the precise, quantitative measurement of phonetic variables — vowel formants, voice onset time (VOT), the spectral moments of /s/, and many others — to socially structured samples of speech, then correlates those measurements with social factors such as age, social class, gender, ethnicity, and region. The result is a fine-grained, statistically defensible account of how phonetic detail carries social meaning and how it patterns across communities and across time, increasingly built on large-scale, automated measurement. |
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