Paper year
2025
Paper dossier
On the Lack of a Perceptually Motivated Evaluation Metric for Packet Loss Concealment in Networked Music Performances
Detail viewSimilarity handoff
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Citations
3
Authors
2
Topic labels
3
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
2
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 19
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=0.8446, citation_velocity=0.1800, topic_growth=0.7178, 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: 0.1689)
Recent attentionused
Recent attention: low; used in final ranking (contribution to score: 0.0900)
Topic momentumused
Topic momentum: high; used in final ranking (contribution to score: 0.2153)
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 43
Multi-topic paper in active topics; no cluster_version on this run so bridge_score was not computed.
Signals: citation_velocity=0.1800, topic_growth=0.7178, 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: 0.0630)
Topic momentumused
Topic momentum: high; used in final ranking (contribution to score: 0.4665)
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
Present in run, outside top 50
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=0.1800, topic_growth=0.7178, diversity_penalty=0.5579
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: 0.0540)
Topic momentumused
Topic momentum: high; used in final ranking (contribution to score: 0.5024)
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: -0.1395)
Abstract
Packet loss concealment (PLC) is vital in preserving audio quality for networked music performances. Although existing PLC techniques primarily target speech transmission, the unique challenges in music signals, such as complex harmonic structures and diverse timbral ranges, have yet to be adequately addressed. This is in part a result of the fact that a satisfactory objective evaluation metric for music PLC methods is missing. As a first foundational step toward this direction, this paper proposes a novel evaluation metric that leverages insights from music psychoacoustics and uses the constant-Q transform to better quantify glitch audibility induced by unconcealed packet loss (i.e., replaced with zeros) compared with existing metrics. The authors conducted extensive subjective listening tests leading to the creation of a publicly available ground truth data set, mapping objective audio features to human assessments of glitch audibility. Results show that the developed metric outperforms other measures (such as mean squared error and mean absolute error) in predicting perceptual impacts, taking a step toward addressing the need for a specialized metric for PLC in the domain of networked music performances. However, further improvements are needed to match human perceptual accuracy, which calls for further research on the development of a reliable perceptually motivated evaluation metric.
Authors
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 StudiesSpeech and Audio ProcessingMusic and Audio Processing
Neighbor surface
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