Coarticulation: Theory, Data, and Techniques
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Acoustic phonetics is a relatively young science, having been systematized with the 1960 publication of Gunnar Fant's Acoustic Theory of Speech Production. Fant's text presented the theory buttressed by his own empirical work as well as by modeling efforts by scientists working in the United States, and the field of acoustic phonetics and its many associated disciplines speech physiology, speech perception, speech synthesis, and automatic speech and speaker recognition, to name a few was off and running. One of the scientists who performed some of the early, well-known modeling work was Professor Kenneth Stevens of MIT, who with Dr. Arthur House extended some of the concepts of the acoustic theory in novel ways. Now, Professor Stevens has written a text entitled Acoustic Phonetics, and it is a remarkable accomplishment. The text not only presents the stateof-the-art 40 years removed from Fant's book, but employs a probing, didactic approach that gives the material the feel of having evolved under the influence of teaching many students. This almost certainly accounts for the linear, crystal-clear way in which the information is developed and applied, and for the very creative use of figures and charts. It seems to me that after reading the ten chapters of this book, a motivated student or interested scientist with little or no previous knowledge of acoustic phonetics would know quite a lot about the subject, and in a fair amount of depth. This reader would also understand, very clearly, Professor Stevens' point of view about this material, summarized in the preface: ''The theme of this book is to explore these relations between the discrete linguistic features and their articulatory and acoustic manifestations'' p. vii.
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 | 0.000 |
| 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