Modelling of vowel-inherent spectral change in spontaneous and elicited speech
Bibliographic record
Abstract
A database of speech samples was collected to examining vowel formant patterns in spontaneous and read speech. Recordings were made from 220 long-time residents of Nova Scotia and Prince Edward Island in two separate tasks: Participants read a series of sentences in several phonetic contexts and also provided a monologue of at least ten minutes duration resulting in approximately 36 hours of spontaneous speech. Vowel formant frequencies were measured for all stressed vowels in non-function words surrounded by obstruents. Speakers were divided among eight geographic regions. Consonant contexts were modelled via nonlinear regression based on a model inspired by Broad and Clermont (J. Acoust. Soc. Am. 81,155). Spontaneous speech was characterized by retraction of front vowels, fronting of /u/, backing of /æ/, and greater diphthongization of /ɒ/. Older speakers were less likely to show a merger between /ɒ/ and /ɔ/. There was also some evidence of a partial Canadian Shift whereby /æ/ and /ε/ are lowered following merger of /ɒ/ and /ɔ/. Results from alternate models currently under development, which may better accommodate vowel-inherent formant movement, will be discussed. [Work supported by SSHRC.]
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".