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Record W655293700

VIMIC - A NOVEL TOOLBOX FOR SPATIAL SOUND PROCESSING IN MAX/MSP

2009· article· en· W655293700 on OpenAlexaff
Nils Peters, Tristan Matthews, Jonas Braasch, Stephen McAdams

Bibliographic record

VenueThe Journal of the Abraham Lincoln Association · 2009
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsLoudspeakerToolboxSound recording and reproductionComputer scienceMicrophoneEquidistantSound (geography)AcousticsHeadphonesVirtual realitySurround soundAudio signal processingHuman–computer interactionSpeech recognitionAudio signalEngineeringPhysics
DOInot available

Abstract

fetched live from OpenAlex

ViMiC (Virtual Microphone Control) is a new toolbox for real-time synthesis of spatial sounds, particularly for concert situations and sound installations, and especially for larger or non-centralized audiences. Based on the concept of virtual microphones positioned within a virtual 3D room, ViMiC supports loudspeaker reproduction up to 24 discrete loudspeaker channels whereby the loudspeakers do not necessarily have to be placed uniformly and equidistant around the audience. Through the integrated Open Sound Control protocol (OSC), ViMiC is easily accessed and manipulated.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.665
Threshold uncertainty score0.278

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.015
GPT teacher head0.258
Teacher spread0.243 · 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 designOther design
Domainnot available
GenreEmpirical

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
Published2009
Admission routes1
Has abstractyes

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