Eyes ’n ears: A system of attentive teleconferencing
Bibliographic record
Abstract
Various teleconferencing systems exist, including systems intended for multiple speakers where a speaker must be localized. Although many sound-localization systems are available, not only are they expensive and nonportable, most require extensive audio arrays resulting in substantial computational processing. A simple, economical, and compact method of sound localization for use in a teleconferencing system is being investigated. In order to localize a sound source, this system relies solely on ITD measurements between microphone pairs, which allows the sound source to be determined as one of many possible locations on the surface of a cone. By taking the intersection of a sufficient number of cones, the location of a sound source in three-dimensional space may be determined. Our goal is to overcome the problems associated with the sound-localization systems currently available. In particular, this work seeks to develop an affordable, limited maintenance and compact sound-localization system for use with a teleconferencing system capable of locating and tracking a speaker in a multiple speaker setting.
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.
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 | 0.000 |
| 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 | 0.000 |
| 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".