Artificial Bandwidth Extension of Telephony Speech by Data Hiding
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The current public switched telephone network (PSTN) is only able to deliver analog signals in a relatively narrow frequency band, about 300-3400 Hz. Such a bandwidth is so small that the intelligibility of speech frequently suffers from poor subjective quality. In order to improve the voice quality and intelligibility, it is proposed to use a data hiding technique to extend the PSTN channel bandwidth artificially. That is, the higher frequency components beyond the PSTN bandwidth are encoded and imperceptibly embedded into the narrowband signal. When the hidden signal is extracted at the receiver, wideband speech can be reconstructed with better perceptual quality. The advantage of the proposed scheme lies in that it is fully compatible with conventional end-user equipment, e.g., a plain ordinary telephone set (POTS). Experimental results show that the proposed scheme has a better performance than conventional bandwidth extension methods with speaker-independent training.
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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 | 0.002 |
| Open science | 0.002 | 0.002 |
| 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 it