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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

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The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Music and Audio Processing
Retraction
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,031 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,031 works in the cohort · of 4,299,418page 2 of 21

Labels cover 2 of 1,031 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 1,031 of 1,031 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affunlabeled
Seeing Sound
Mark Cartwright, Ayanna Seals, Justin Salamon, Alex C. Williams, Stefanie Mikloska, Duncan MacConnell +3 more
2017· article· en· Proceedings of the ACM on Human-Computer Interaction· Computer Science
machine prediction:candidate · noneconsensus · none
62
citations
affunlabeled
Automatic Tagging of Audio
Thierry Bertin-Mahieux, Douglas Eck, Michael Mandel
2010· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
60
citations
affunlabeled
Staff Detection and Removal
Ichiro Fujinaga
2011· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
59
citations
affunlabeled
SAMoSA
Vimal Mollyn, Karan Ahuja, Dhruv Verma, Chris Harrison, Mayank Goel
2022· article· en· Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies· Computer Science
machine prediction:candidate · noneconsensus · none
49
citations
affunlabeled
Onsets and Frames: Dual-Objective Piano Transcription
Curtis Hawthorne, Erich Elsen, Jialin Song, Adam P. Roberts, Ian Simon, Colin Raffel +3 more
2017· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
43
citations
affunlabeled
Sound-Guided Semantic Image Manipulation
Seung Hyun Lee, Wonseok Roh, Wonmin Byeon, Sang Ho Yoon, Chan Young Kim, Jinkyu Kim +1 more
2022· article· en· 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)· Computer Science
machine prediction:candidate · noneconsensus · none
43
citations
affunlabeled
n-gram-based approach to composer recognition
Jacek Wołkowicz, Z. Kulka, Vlado Kešelj
2008· article· en· DOAJ (DOAJ: Directory of Open Access Journals)· Computer Science
machine prediction:candidate · noneconsensus · none
42
citations
affno abstractunlabeled
Event-contingent recording.
D. S. Moskowitz, Gentiana Sadikaj
2012· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
40
citations
affunlabeled
MARSYAS-0.2
George Tzanetakis
2008· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
40
citations
affunlabeled
A hybrid recurrent neural network for music transcription
Siddharth Sigtia, Emmanouil Benetos, Nicolas Boulanger-Lewandowski, Tillman Weyde, Artur d’Avila Garcez, Simon Dixon
2015· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
38
citations
affunlabeled
Learning Tags That Vary Within A Song.
Michael Mandel, Douglas Eck, Yoshua Bengio
2010· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · noneconsensus · none
34
citations
affunlabeled
Web Services For Music Information Retrieval.
Mark Zadel, Ichiro Fujinaga
2004· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · noneconsensus · none
34
citations
fundno affunlabeled
Feature Set Patterns in Music
Darrell Conklin, Mathieu Bergeron
2008· article· en· Computer Music Journal· Computer Science
machine prediction:candidate · noneconsensus · none
33
citations
affunlabeled
Generating Music from Literature
Hannah Davis, Saif M. Mohammad
2014· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
33
citations
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