Investigating the Effects of a Personalized, Spectrally Altered Music-Based Sound Therapy on Treating Tinnitus: A Blinded, Randomized Controlled Trial
Bibliographic record
Abstract
OBJECTIVE: This blinded, randomized controlled trial assessed the effectiveness of a personalized, spectrally altered music-based sound therapy over 12 months of use. METHOD: Two groups of participants (n = 50) were randomized to receive either altered or unaltered classical music. The treatment group received classical music that had been modified based on spectral alterations specific to their tinnitus characteristics. Tinnitus and psychological functioning were assessed at baseline and 3, 6, and 12 months after initial testing using self-reports. Participants, investigators and research assistants were blinded from group assignment. RESULTS: Data from 34 participants were analyzed. The treatment group reported significantly lower levels of tinnitus distress (primary outcome, assessed using the Tinnitus Handicap Inventory) than the control group throughout the follow-up period. Among the treatment group, there were statistically significant and clinically meaningful levels of reduction in tinnitus distress, severity, and functional impairment at 3- and 6-month follow-ups, which was sustained at the 12-month follow-up. CONCLUSION: The personalized music therapy was effective in reducing subjective tinnitus and represents a meaningful advancement in tinnitus intervention.
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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 | 0.001 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| 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".