Joint Evaluation Of Text-To-Speech Synthesis In French Within The Aupelf Arc-B3 Project
Bibliographic record
Abstract
A joint international evaluations of Text-To-Speech synthesis (TTS) systems is being conducted for the French language. This project involves eight laboratories of French-speaking countries (Belgium, Canada, France and Switzerland), and is funded by AUPELF (Association of French Speaking Universities) The results obtained after 2 years of work are presented in this paper. The project is split into 4 tasks: 1/ evaluation of grapheme-to-phoneme conversion; 2/ evaluation of prosody; 3/ evaluation of segments concatenation/modification; 4/ global system evaluation. Grapheme-phoneme conversion evaluation has now been completed, and both methodological issues and results for the eight systems are presented at the workshop. For prosody evaluation, the problem is to study several systems that incorporate different linguistic analyses, different prosodic systems, different intonation and rhythmic models. Using the same phonemic input and the same concatenation /modification system with the same...
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How this classification was reachedexpand
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 | 0.005 | 0.004 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".