Paper year
2021
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
2021
Citations
8
Authors
5
Topic labels
2
Source readout
Journal of the Audio Engineering Society
jaes
Core corpus
6
Ranking readout
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
0
Top 50
0
Run label
shadow-generalization-product-candidate-ranking-v1
Snapshot
source-snapshot-shadow-generalization-v1-20260521
Scope: family global | run rank-83787b91ef
Emerging
No materialized row for this family in the resolved run
This paper did not surface into the current materialized family row set.
Bridge
No materialized row for this family in the resolved run
This paper did not surface into the current materialized family row set.
Under-cited
No materialized row for this family in the resolved run
This paper did not surface into the current materialized family row set.
The increasing attention toward interactions at a distance and the improvement of digital communications networks have steadily increased the interest toward Networked Music Performance both regarding entertainment and education. Unfortunately the unavoidable network latency remains one of the main issues that prevents a satisfiable remote performance. In this work we propose three different techniques that try to contrast this issue by relying on adaptive metronomes, i.e., metronomes that are able to track the tempo of the musicians through a beat tracking technique. We present a series of preliminary experiments with both professional and amateur musicians that demonstrate that these techniques could be a promising approach as an additional tool for contrasting the impact of latency.
Neighborhood labels
Topic labels are imported metadata and can be noisy; use them as coarse navigation hints, not authoritative classifications.
Music Technology and Sound StudiesMusic and Audio Processing
Neighbor surface
Similar papers use a separately configured neighbor embedding; it may differ from the embedding version used by the current ranked run.
Investigating the Perceptual Validity of Evaluation Metrics for Automatic Piano Music Transcription
0.555Next 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.