Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Acoustic Phonetic Analysis× | Sociophonetic Analysis× | |
|---|---|---|
| Domeniu | Lingvistică | Lingvistică |
| Familie | Process / pipeline | Process / pipeline |
| Anul apariției≠ | 1960 | 2006 |
| Autorul original≠ | Acoustic phoneticians (Gunnar Fant; Peter Ladefoged; Keith Johnson) | Sociophoneticians (William Labov; Paul Foulkes; Erik R. Thomas) |
| Tip≠ | Empirical measurement workflow for the acoustic signal of speech | Workflow correlating acoustic phonetic measurement with social factors |
| Sursa seminală≠ | Johnson, K. (2012). Acoustic and Auditory Phonetics (3rd ed.). Wiley-Blackwell. ISBN: 9781405194662 | 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 |
| Denumiri alternative | Acoustic Analysis of Speech, Speech Acoustic Measurement, Acoustic Speech Analysis | Sociophonetics, Sociophonetic Variation Analysis, Phonetic Variation Analysis |
| Înrudite≠ | 3 | 4 |
| Rezumat≠ | Acoustic phonetic analysis is the empirical measurement workflow at the heart of experimental phonetics: it records speech, segments and labels the signal, and extracts quantitative acoustic parameters — the waveform, the spectrogram, fundamental frequency (F0), the formants, intensity, segment duration, and voice onset time (VOT). These measurements are interpreted through the source-filter theory of speech production, which models the output sound as a glottal source spectrum shaped by the transfer function of the vocal tract, turning the audible speech stream into reproducible numbers that can be compared, modelled, and related to articulation. | 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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