Coding of unquantized spectrum sub-bands in superwideband audio codecs
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
We present several new methods for coding of spectrum coefficients in embedded audio codecs. In audio codecs, the spectrum is often divided in sub-bands, and quantized using a vector quantization. In many applications, the limited bit-budget allocated to the vector quantization is not sufficient to cover all the sub-bands, and the distortion of the spectrum in the unquantized sub-bands frequently causes audio quality degradation. The presented methods have been designed to improve the representation efficiency of the spectrum in these sub-bands. They consist of a preprocessing of the spectrum before the vector quantization, a correction of the encoded spectral envelope after the quantization, and a filling of the unquantized spectrum sub-bands. These methods have been used in the superwideband embedded extensions of the audio codecs G.711.1 Annex D and G.722 Annex B, recently standardized by the ITU-T.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Open science | 0.001 | 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 it