The Batik-plays-Mozart Corpus: Linking Performance to Score to Musicological Annotations

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 resource for studying various facets of expressive performance and their relationship with structural aspects. In the paper, we outline the curation process of the alignment and conduct two exploratory experiments to demonstrate its usefulness in analyzing expressive performance.Comment: To be published in the Proceedings of the 24th International Society for Music Information Retrieval Conference (ISMIR 2023), Milan, Ital

Characterizing the Landscape of Musical Data on the Web: State of the Art and Challenges

Musical data can be analysed, combined, transformed and exploited for diverse purposes. However, despite the proliferation of digital libraries and repositories for music, infrastructures and tools, such uses of musical data remain scarce. As an initial step to help fill this gap, we present a survey of the landscape of musical data on the Web, available as a Linked Open Dataset: the musoW dataset of catalogued musical resources. We present the dataset and the methodology and criteria for its creation and assessment. We map the identified dimensions and parameters to existing Linked Data vocabularies, present insights gained from SPARQL queries, and identify significant relations between resource features. We present a thematic analysis of the original research questions associated with surveyed resources and identify the extent to which the collected resources are Linked Data-ready

Characterization and Melodic Similarity of A Cappella Flamenco Cantes

This paper intends to research on the link between musical similarity and style and sub-style (variant) classification in the context of flamenco a cappella singing styles. Given the limitation of standard computational models for melodic characterization and similarity computation in this particular context, we have proposed a specific set of melodic features adapted to flamenco singing styles. In order to evaluate them, we have gathered a collection of music recordings from the most representative singers and have manually extracted those proposed features. Based on those features, we have defined a similarity measure between two performances and have validated their usefulness in differentiating several styles and variants. The main conclusion of this work is the need to incorporate specific musical features to the design of similarity measures for flamenco music so that flamencoadapted MIR systems can be develope