Analysis of a vowel database
Why this work is in the frame
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Bibliographic record
Abstract
To study developmental changes in the acoustic properties of vowels, we have collected a database of recordings from adults and children from the Dallas, Texas region.Across age and gender classes, we find a systematic relationship between the geometric mean of the formant frequencies (F1-F3) across all of the vowels for a given speaker (a measure related to vocal tract length) and the geometric mean fundamental frequency (f0, reflecting the rate o f vocal fold vibration).The aim o f this study is to provide a preliminary analysis o f the developmental changes in these acoustic properties. v o w e l d a t a b a s e 2.1 SpeakersTo date we have recorded 163 children and 39 adults.The children ranged in age from 5 to 18 years of age, with at least 5 boys and 5 girls at each age.The adults were undergraduate students at the University o f Texas at Dallas ranging in age from 19-45 years.All spoke English as their first language and were long-term residents o f the North Texas region. VowelsVowels were recorded in hVd words, both in isolation and in a carrier sentence, "Please say the w o rd __again."The recordings included the 12 monophthongal vowels of American English, A/, heed; /I/, hid; /e/, hayed; /E/, head; //, had; /p/, hud; //, herd; /A/, hod; / / , hawed; /o/, hoed; /Y/, hood; /u/, w ho'd; and three diphthongs, /Ai/, hide; /Au/, how 'd; and /Di/, hoyed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it