Paper year
2025
Detect emerging, bridge-candidate, and undercited papers inside a curated audio-ML corpus, then expose the signals behind every recommendation.
Paper dossier
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
Transactions of the International Society for Music Information Retrieval
tismir
Core corpus
Not available yet
Ranking readout
Ranking details could not be loaded (API 503).
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.
Neighborhood 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
Similar papers use a separately configured neighbor embedding; it may differ from the embedding version used by the current ranked run.
No embedding-backed neighbors available for this paper/version yet.
Next handoff
01
Use Recommended to see whether this paper behaves like an emerging or undercited signal in the current ranked feed, or how it appears on the bridge preview / diagnostics view.
02
Use Trends to understand whether its attached labels are heating up or cooling down inside the curated corpus.
03
Use Evaluation to compare the dossier readout against citation and recency baselines for the same resolved family run.