Recognition of emotional speech for younger and older talkers: Behavioural findings from the toronto emotional speech set
Why this work is in the frame
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Bibliographic record
Abstract
A study that was conducted to analyze recognition of emotional speech for younger and older talkers is presented. Each actor recorded the stimuli individually in a sound- attenuating booth for approximately 20 hours. During the recording sessions, which typically lasted three to four hours, the majority of the time was spent creating the voice recordings, while approximately 10% of the time was devoted to practicing and fine-tuning each actor's portrayal of each of the emotions. Three female undergraduate students with normal hearing listened to the stimuli and identified, for each actor, which token of each NU-6 item they considered to be the most representative for each of the seven emotions. The experimenter used the same procedure to listen to each of the sound files.
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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) | 0.010 | 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