Intelligibility of information in temporally desynchronized bands of speech
Bibliographic record
Abstract
[Stilp et al., [J. Acoust. Soc. Am. 121, 3195 (2007)] demonstrated that acoustic measures of potential information, absent explicit linguistic information, are closely related to intelligibility of locally time-reversed sentences. Here, this finding is replicated in two experiments in which synchronization of speech energy within four spectral bands was perturbed in different ways. An ensemble of seven-syllable sentences was synthesized at three different speaking rates (2.5, 5.0, 10 syllables/s) and filtered by one-third-octave Butterworth filters centered at 335, 850, 2135, and 5400 Hz. In Experiment 1, onset of the 335- and 5,400-Hz bands was delayed by multiple durations (0, 25, 50, 100, 200, 400, 600 ms). Across speaking rates, intelligibility was a nonmonotonic function of delay with local minima corresponding to roughly one syllable. Smaller and larger delays yielded better performance. In Experiment 2, bands were nonlinearly scaled in time (jittered) to preserve overall duration with local rate adjusted to preserve the same overall degree of desynchronization as Experiment 1. Performance monotonically decreased with increasing jitter. Overall, results closely mimic previous findings for locally time-reserved sentences, and provide support that physical acoustic potential information closely relates to intelligibility of temporally distorted speech. [Work supported by NIDCD.]
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".