Spectrotemporal Modulation Sensitivity in Speech and Melody Processing Among Mandarin Speakers
Bibliographic record
Abstract
OBJECTIVES: Spectrotemporal acoustical markers enable humans to distinguish between speech and song across diverse cultures. Prior research revealed an asymmetric sensitivity in auditory processing: melody perception is more susceptible to spectral degradation, whereas speech sentence perception is more affected by temporal degradation. However, these findings have primarily been based on non-tonal languages, raising questions about how tonal languages, such as Mandarin, might influence these sensitivity patterns. This study investigates how Mandarin speakers process spectrotemporal features in speech and melody, addressing whether tonal language experience modulates the asymmetric spectrotemporal modulation sensitivity patterns observed in non-tonal languages. DESIGN: Twenty-five Mandarin-speaking participants were recruited in the main experiment to discriminate speech or melody content of Mandarin songs under conditions of varying spectral or temporal degradation. An additional 25 participants in the control experiment listened to degraded hummed melodies or spoken sentences under similar degradation conditions. RESULTS: Consistent with findings in non-tonal language speakers, Mandarin listeners were more sensitive to temporal degradation in speech and spectral degradation in melody. In addition, they exhibited heightened susceptibility to spectral degradation around 2 cyc/kHz in melody perception, indicating enhanced pitch sensitivity in music, possibly due to tonal language experience. Control analyses revealed reduced sensitivity when hummed melodies or spoken sentences were presented in a single domain, suggesting the influence of cognitive load on auditory processing. CONCLUSIONS: These findings underscore the quasi-universality of spectrotemporal cues in speech and melody perception across languages. However, tonal language experience subtly enhances spectral processing in music, providing new insights into the interaction between speech and music perception across different linguistic backgrounds.
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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 | 0.000 | 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 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".