Paper year
2025
Paper dossier
The Story Behind the Real World Computing Music Database: An Interview with Masataka Goto
Detail viewSimilarity handoff
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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
6
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
Present in run, outside top 50
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=0.7908, citation_velocity=0.0000, topic_growth=0.8160, 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: 0.1582)
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: 0.2448)
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 42
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=0.8160, 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: 0.5304)
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 28
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=0.8160, 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: 0.5712)
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
The Real World Computing (RWC) Music Database has been a widely used and valuable resource in music information retrieval (MIR) research for over two decades, offering high‑quality audio recordings and comprehensive annotations for a variety of MIR tasks. In light of recent efforts to transform the RWC into an open‑domain and community‑driven dataset, this editorial presents a revised transcript of an interview with Masataka Goto, one of the original creators of the RWC. Conducted on February 18, 2025, by Stefan Balke and Meinard Müller, the interview explores the origins of the RWC, the motivations behind its development, the challenges involved in its production and annotation, and its long‑term impact on MIR research. The conversation also reflects on the evolution of dataset practices in MIR and discusses future directions for open, collaborative dataset initiatives. This transcript has been carefully edited for clarity while preserving the authenticity of the questions and responses. Beyond its immediate relevance to the RWC, the interview provides a unique historical perspective on MIR, capturing firsthand insights from a key figure whose work has significantly shaped the field. By making this interview available, we aim to contribute to broader conversations on dataset sustainability, open access, and the role of community‑driven research in MIR.
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 and Audio ProcessingMusic Technology and Sound StudiesNeuroscience and Music Perception
Neighbor surface
Similar papers
6 total neighborsEmbedding v1-title-abstract-1536-cleantext-r3
Similar papers use a separately configured neighbor embedding; it may differ from the embedding version used by the current ranked run.
- Music and Audio ProcessingMusic Technology and Sound StudiesDiverse Musicological Studies
- Music and Audio ProcessingDiverse Musicological StudiesMusic Technology and Sound Studies
- Music and Audio ProcessingDiverse Musicological StudiesInformation Retrieval and Search Behavior
- Music and Audio ProcessingDiverse Musicological StudiesNatural Language Processing Techniques
- Diverse Musicological StudiesMusic and Audio ProcessingFolklore, Mythology, and Literature Studies
- Music and Audio ProcessingMusic Technology and Sound StudiesSpeech and Audio Processing
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