A low power, single chip realization of a low-speed, low-delay CELP coder/decoder for indoor wireless systems
Bibliographic record
Abstract
32 kb/s adaptive differential pulse coded modulation (ADPCM) is a widely accepted high quality speech coding algorithm. Single chip devices exist for 32 kb/s ADPCM. This algorithm requires a relatively large bandwidth and does not perform exceptionally well in noisy wireless environments. The 16 kb/s low-delay code excited linear prediction (LD-CELP) coding algorithm does perform well in noisy environments and requires a reduced bandwidth. Through algorithm optimization and simulated verification of mixed analog and digital VLSI partitioning a single chip implementing the 16 kb/s LD-CELP voice coding algorithm will be possible. The performance of this coder chip will be comparable to the quality of 32 kb/s ADPCM. In this paper we propose the use of a link between Comdisco's SPW and Synopsis to determine the hardware related performance degradation and the technology/complexity related power dissipation and area parameters. It will both prove the concept of design and determine the VLSI implementation feasibility.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".