Annotation and Analysis of Recorded Piano Performances on the Web

Autor: Lawrence Fyfe, Daniel Bedoya, Elaine Chew
Přispěvatelé: Sciences et Technologies de la Musique et du Son (STMS), Institut de Recherche et Coordination Acoustique/Musique (IRCAM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Représentations musicales (Repmus), Institut de Recherche et Coordination Acoustique/Musique (IRCAM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche et Coordination Acoustique/Musique (IRCAM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Department of Engineering (KCL), King‘s College London, School of Biomedical Engineering & Imaging Sciences (BMEIS), King's College London (KCL), European Project: 788960,ERC ADG COSMOS
Rok vydání: 2022
Předmět:
Zdroj: Journal of the Audio Engineering Society
Journal of the Audio Engineering Society, 2022, 70 (11), pp.962-978. ⟨10.17743/jaes.2022.0057⟩
ISSN: 1549-4950
Popis: International audience; Advancing knowledge and understanding about performed music is hampered by a lack of annotation data for music expressivity. To enable large-scale collection of annotations and explorations of performed music, the authors have created a workflow that is enabled by CosmoNote, a Web-based citizen science tool for annotating musical structures created by the performer and experienced by the listener during expressive piano performances. To enable annotation tasks with CosmoNote, annotators can listen to the recorded performances and view synchronized music visualization layers including the audio waveform, recorded notes, extracted audio features such as loudness and tempo, and score features such as harmonic tension. Annotators have the ability to zoom into specific parts of a performance and see visuals and listen to the audio from just that part. The annotation of performed musical structures is done by using boundaries of varying strengths, regions, comments, and note groups. By analyzing the annotations collected with CosmoNote, performance decisions will be able to be modeled and analyzed in order to aid in the understanding of expressive choices in musical performances and discover the vocabulary of performed musical structures.
Databáze: OpenAIRE