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Investigating the Perceptual Validity of Evaluation Metrics for Automatic Piano Music Transcription Cover

Investigating the Perceptual Validity of Evaluation Metrics for Automatic Piano Music Transcription

Transactions of the International Society for Music Information Retrieval
Volume 3 (2020): Issue 1
By: Adrien Ycart,  Lele Liu,  Emmanouil Benetos and  Marcus T. Pearce  
Open Access
|Jun 2020

Authors

Adrien Ycart

a.ycart@qmul.ac.uk

Centre for Digital Music, School of Electronic Engineering and Computer Science, Queen Mary University of London

Lele Liu

lele.liu@qmul.ac.uk

Centre for Digital Music, School of Electronic Engineering and Computer Science, Queen Mary University of London

Emmanouil Benetos

emmanouil.benetos@qmul.ac.uk

Centre for Digital Music, School of Electronic Engineering and Computer Science, Queen Mary University of London

Marcus T. Pearce

marcus.pearce@qmul.ac.uk

Centre for Digital Music, School of Electronic Engineering and Computer Science, Queen Mary University of London, UK; Center for Music in the Brain, Aarhus University
DOI: https://doi.org/10.5334/tismir.57 | Journal eISSN: 2514-3298
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Language: English
Submitted on: Mar 1, 2020
Accepted on: Apr 20, 2020
Published on: Jun 12, 2020
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Automatic music transcription,
polyphonic music similarity,
evaluation metrics

© 2020 Adrien Ycart, Lele Liu, Emmanouil Benetos, Marcus T. Pearce, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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