Pitch-based acoustic feature analysis for the discrimination of speech and monophonic singing
Why this work is in the frame
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Bibliographic record
Abstract
this paper. To investigate the perceptual differences between talking and singing, human subjects were exposed to a corpus of singing and talking sounds, and asked first to classify each sound on a scale between speaking and singing, and then to indicate the characteristics of the sounds that lead to their judgements. The subject responses indicated that pitch is a primary factor in making this judgement. Subjects indicated many pitch-based subfeatures including vibrato (similar to Zhang's harmonic ripple), excessively low or high pitch, adherence to a musical scale, and smoothness of pitch. Other features not directly related to pitch include rhythm, rhyme, context and expectation. As will be seen later in this paper, some of these features can also be investigated using pitch as a base feature
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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 | 0.001 |
| 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