Paper dossier

ImproVision Equilibrium: Toward Multimodal Musical Human-Machine Interaction

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Review source metadata, abstract, authors, topics, and local similarity context before moving into explanation and ranking views.

Paper year

2025

Citations

0

Authors

3

Topic labels

3

Source readout

Source and corpus status

Venue

Transactions of the International Society for Music Information Retrieval

Source slug

tismir

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 35

0.434

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=0.8572, citation_velocity=0.0000, topic_growth=0.8740, 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: 0.1714)

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: 0.2622)

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 20

0.568

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=0.8740, 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: 0.5681)

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: 0.0000)

Under-cited

In top 50 at rank 12

0.612

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=0.8740, 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: 0.6118)

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

In this research, we introduce extensions of the ImproVision framework for multimodal musical human-machine communication. ImproVision Equilibrium integrates real‑time pitch detection, consonant chord determination, and visual cues to guide an ensemble from dissonance to harmony. In addition to Equilibrium, we introduce ImproVision Gestured Improvisation, a complementary mode in which musicians use body gestures to guide generative machine improvisation. These systems demonstrate a spectrum of human-machine interaction dynamics. We evaluate the ImproVision framework using the Standardized Procedure for Evaluating Creative Systems methodology for creative systems, assessing its capacity for co‑creation, communication, and adaptability. Potential applications span from ensemble rehearsal aids to interactive performance tools, opening new avenues through intelligent, responsive, and multimodal machine participation in the arts.

Authors

  • Ross Greer
  • Laura Fleig
  • Shlomo Dubnov

Neighborhood labels

Topics

3 labels

Topic labels are imported metadata and can be noisy; use them as coarse navigation hints, not authoritative classifications.

Music Technology and Sound StudiesHuman Motion and AnimationNeuroscience and Music Perception

Neighbor surface

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No embedding-backed neighbors available for this paper/version yet.

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