The Batik-plays-Mozart Corpus: Linking Performance to Score to Musicological Annotations
Patricia Hu, Gerhard Widmer

TL;DR
The Batik-plays-Mozart Corpus is a high-quality dataset linking professional Mozart performances with score annotations at note-level precision, enabling detailed analysis of expressive performance and musicological features.
Contribution
It introduces the first high-precision corpus aligning Mozart performances with annotated scores and musical structure, facilitating research in expressive performance analysis.
Findings
Demonstrated the corpus's usefulness through exploratory experiments
Provided precise note-level alignment between performances and scores
Enabled analysis of expressive nuances in Mozart performances
Abstract
We present the Batik-plays-Mozart Corpus, a piano performance dataset combining professional Mozart piano sonata performances with expert-labelled scores at a note-precise level. The performances originate from a recording by Viennese pianist Roland Batik on a computer-monitored B\"osendorfer grand piano, and are available both as MIDI files and audio recordings. They have been precisely aligned, note by note, with a current standard edition of the corresponding scores (the New Mozart Edition) in such a way that they can further be connected to the musicological annotations (harmony, cadences, phrases) on these scores that were recently published by Hentschel et al. (2021). The result is a high-quality, high-precision corpus mapping scores and musical structure annotations to precise note-level professional performance information. As the first of its kind, it can serve as a valuable…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMusic and Audio Processing · Neuroscience and Music Perception · Music Technology and Sound Studies
