Music Perception by Cochlear Implant and Normal Hearing Listeners as Measured by the Montreal Battery for Evaluation of Amusia
Bibliographic record
Abstract
In Brief Objectives: The purpose of this study was to explore the utility/possibility of using the Montreal Battery for Evaluation of Amusia (MBEA) test (Peretz, et al., Ann N Y Acad Sci, 999, 58–75) to assess the music perception abilities of cochlear implant (CI) users. Design: The MBEA was used to measure six different aspects of music perception (Scale, Contour, Interval, Rhythm, Meter, and Melody Memory) by CI users and normal-hearing (NH) listeners presented with stimuli processed via CI simulations. The spectral resolution (number of channels) was varied in the CI simulations to determine: (a) the number of channels (4, 6, 8, 12, and 16) needed to achieve the highest levels of music perception and (b) the number of channels needed to produce levels of music perception performance comparable with that of CI users. Results: CI users and NH listeners performed higher on temporal-based tests (Rhythm and Meter) than on pitch-based tests (Scale, Contour, and Interval)—a finding that is consistent with previous research studies. The CI users’ scores on pitch-based tests were near chance. The CI users’ (but not NH listeners’) scores for the Memory test, a test that incorporates an integration of both temporal-based and pitch-based aspects of music, were significantly higher than the scores obtained for the pitch-based Scale test and significantly lower than the temporal-based Rhythm and Meter tests. The data from NH listeners indicated that 16 channels of stimulation did not provide the highest music perception scores and performance was as good as that obtained with 12 channels. This outcome is consistent with other studies showing that NH listeners listening to vocoded speech are not able to use effectively F0 cues present in the envelopes, even when the stimuli are processed with a large number (16) of channels. The CI user data seem to most closely match with the 4- and 6-channel NH listener conditions for the pitch-based tasks. Conclusions: Consistent with previous studies, both CI users and NH listeners showed the typical pattern of music perception in which scores are higher on tests measuring the perception of temporal aspects of music (Rhythm and Meter) than spectral (pitch) aspects of music (Scale, Contour, and Interval). On that regard, the pattern of results from this study indicates that the MBEA is a suitable test for measuring various aspects of music perception by CI users. The purpose of this study was to explore the use of the Montreal Battery for Evaluation of Amusia (MBEA) test to assess the music perception abilities of cochlear implant (CI) users. The MBEA was used to measure six different aspects of music perception (Scale, Contour, Interval, Rhythm, Meter, and Melody Memory) by CI users and normal hearing (NH) listeners presented with vocoded stimuli. Results showed that CI users and NH listeners performed higher on rhythmic-based tests (Rhythm and Meter) than on pitch-based tests (Scale, Contour, and Interval). The CI scores matched to the 4–6-channel scores from NH listeners.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 0.001 |
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".