Simulated Phase-Locking Stimulation: An Improved Speech Processing Strategy for Cochlear Implants
Bibliographic record
Abstract
The continuous interleaved sampling (CIS) speech-processing strategy has been widely used for cochlear implants to extract speech envelope information without preserving phase information. In this study, a novel simulated phase-locking stimulation (SPLS) strategy, which detects zero-crossing times of the narrow-band signal of each band, was developed to extract both phase and amplitude-envelope information from a bank of frequency bands of speech sounds. The advantage of the SPLS strategy over the CIS strategy was confirmed by the results of our psychophysical experiments, showing that normal-hearing Chinese listeners' performance in recognizing SPLS-processed Chinese speech was significantly better than their performance of recognizing CIS-processed Chinese speech under quiet, noise-masking, or speech-masking conditions. Thus, the results suggest that if the SPLS strategy is used to modulate the interval of electrical stimulation pulses in cochlear-implant devices according to extracted phase information, the speech-processing functions of cochlear implant devices would be improved for Chinese cochlear implant users.
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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 | 0.000 | 0.001 |
| 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) | 0.001 | 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".