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
6
Ranking readout
Ranking details could not be loaded (API 503).
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.
Neighborhood 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 use a separately configured neighbor embedding; it may differ from the embedding version used by the current ranked run.
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.