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Combined object-based audio and MASA format for enhanced spatial mobile communication

2025· article· en· W4408354399 on OpenAlexaff
Mikko‐Ville Laitinen, Adriana Vasilache, Anssi Rämö, Jouni Paulus, Václav Eksler

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Data Compression Techniques
Canadian institutionsVoiceAge (Canada)
Fundersnot available
KeywordsComputer scienceObject (grammar)Mobile telephonyMobile computingMultimediaMobile radioArtificial intelligenceTelecommunications

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.727
Threshold uncertainty score0.401

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.007
GPT teacher head0.282
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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