Paper dossier

Improved Real-Time Six-Degrees-of-Freedom Dynamic Auralization Through Nonuniformly Partitioned Convolution

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Paper year

2025

Citations

0

Authors

4

Topic labels

2

Source readout

Source and corpus status

Venue

Journal of the Audio Engineering Society

Source slug

jaes

Corpus placement

Core corpus

Similarity rows

Not available yet

Ranking readout

Where this paper lands in the current run

Run shadow-generalization-product-candidate-ranking-v1Top 50 surfaced

This block uses the same resolved ranking run as Recommended. Ranks here are materialized paper_scores ranks; live Emerging may be reordered by the bounded ML scorer. Family rank is global within each family, but rank is only shown when this paper lands inside the surfaced top 50.

Families present

3

Top 50

3

Run label

shadow-generalization-product-candidate-ranking-v1

Snapshot

source-snapshot-shadow-generalization-v1-20260521

Scope: family global | run rank-83787b91ef

Emerging

In top 50 at rank 23

0.462

Emerging: embedding slice fit vs included-corpus centroid (title+abstract), plus citation velocity and topic growth; not universal relevance. Bridge signal not used here.

Signals: semantic=0.8078, citation_velocity=0.0000, topic_growth=1.0000, diversity_penalty=0.0000

Why this surfaced | 3 used | 1 penalty | 1 not computed
Embedding slice fit (corpus centroid)used

Embedding slice fit (corpus centroid): high; used in final ranking (contribution to score: 0.1616)

Recent attentionused

Recent attention: low; used in final ranking (contribution to score: 0.0000)

Topic momentumused

Topic momentum: high; used in final ranking (contribution to score: 0.3000)

Cross-cluster signalnot computed

Cross-cluster signal: not computed for this run

Similarity penaltypenalty

Similarity penalty: reduces score when non-zero (contribution to score: 0.0000)

Bridge

In top 50 at rank 16

0.583

Multi-topic paper in active topics; no cluster_version on this run so bridge_score was not computed.

Signals: citation_velocity=0.0000, topic_growth=1.0000, diversity_penalty=0.3333

Why this surfaced | 2 used | 1 penalty | 2 not computed
Semantic matchnot computed

Semantic match: not computed for this run

Recent attentionused

Recent attention: low; used in final ranking (contribution to score: 0.0000)

Topic momentumused

Topic momentum: high; used in final ranking (contribution to score: 0.6500)

Cross-cluster signalnot computed

Cross-cluster signal: not computed for this run

Topic breadth penaltypenalty

Topic breadth penalty: reduces score when non-zero (contribution to score: -0.0667)

Under-cited

In top 50 at rank 1

0.700

Low-cite candidate pool (see docs/candidate-pool-low-cite.md v0): core corpus, recency floor, citation ceiling, title+abstract gate; popularity penalty among pool members only. Semantic and bridge not yet modeled.

Signals: citation_velocity=0.0000, topic_growth=1.0000, diversity_penalty=0.0000

Why this surfaced | 2 used | 1 penalty | 2 not computed
Semantic matchnot computed

Semantic match: not computed for this run

Recent attentionused

Recent attention: low; used in final ranking (contribution to score: 0.0000)

Topic momentumused

Topic momentum: high; used in final ranking (contribution to score: 0.7000)

Cross-cluster signalnot computed

Cross-cluster signal: not computed for this run

Pool popularity penaltypenalty

Pool popularity penalty: reduces score when non-zero (contribution to score: 0.0000)

Abstract

Recent years have witnessed an increasing interest from the academic and industrial research community toward software for dynamic auralization and six-degrees-of-freedom (6DoF) navigation of immersive audio environments. Some existing tools rely on the convolution of source sounds with Ambisonics impulse responses (IRs) recorded in real spaces. However, despite advancements in computing power of modern central processing units, convolution remains a demanding computation to perform, especially with many channels and in real time. Moreover, efficient computation schemes often used in single-IR matrix tools have not made their way into open-source 6DoF spatial audio plugins. This paper presents MCFX-6DoFconv, an open-source 6DoF convolution plugin combining the efficient convolution engine of the MCFX-Convolver plugin with the 6DoF navigation features of SPARTA 6DoFconv, along with functional and interface improvements. Compared with the original SPARTA 6DoFconv, the proposed plugin yields a considerable increase in computing efficiency throughout a wide range of IR lengths, number of channels, and audio buffer sizes, up to a 3.7-fold improvement. This enables real-time auralization with longer IRs and multiple source rendering with more plugin instances. Moreover, the proposed plugin enables instant listener-position updates, eliminating delays up to two buffer sizes and removing the audio latency caused by internal buffering.

Authors

  • Domenico Stefani
  • Marco Binelli
  • Angelo Farina
  • Luca Turchet

Neighborhood labels

Topics

2 labels

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Advanced Vision and ImagingImage and Video Stabilization

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