Combined object-based audio and MASA format for enhanced spatial mobile communication
Bibliographic record
Abstract
The new 3GPP IVAS codec for immersive voice and audio communication services in 5G networks supports a variety of spatial audio formats beyond mono and stereo voice and audio, and even combinations of them. This paper presents the OMASA combined audio format which provides a joint coding of object-based audio and metadata-assisted spatial audio (MASA). It enables immersive communication experiences, e.g., in teleconferencing scenarios where a mobile end-device captures the environmental audio in MASA format while individual talkers’ voices are captured with their own microphones as separate audio objects. This paper describes coding methods newly developed and optimized depending on the available bitrate and the number of audio objects to efficiently deliver a 3D audio experience at a wide OMASA bitrate range from 13.2 kbps to 512 kbps. The benefits of the presented joint coding of audio formats over separate coding at the same bitrates are presented in terms of subjective evaluation and computational resources.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".