Towards Automatic Measure-Wise Feature Extraction Pipeline for Music Performance Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F22%3APU145256" target="_blank" >RIV/00216305:26220/22:PU145256 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9851277" target="_blank" >https://ieeexplore.ieee.org/document/9851277</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP55681.2022.9851277" target="_blank" >10.1109/TSP55681.2022.9851277</a>
Alternative languages
Result language
angličtina
Original language name
Towards Automatic Measure-Wise Feature Extraction Pipeline for Music Performance Analysis
Original language description
The task of obtaining ground-truth annotations is of fundamental importance for music performance analysis. Measure positions could be used to navigate throughout the piece, indicate the tempo changes, or help with structure segmentation. In~this paper, we introduce an automatic measure-wise feature extraction pipeline. We first annotate one interpretation of the string quartet music and use an audio synchronization strategy to transfer measure positions to all other recordings. We extract features related to tempo, dynamics, and timbre. We compute average values in each measure and propose measure-wise feature matrices. This procedure could be used for any number of recordings as long as at least one reference annotation is available. Finally, we create a binary label for each interpretation based on the Czech origin of performers as an experiment and evaluate the measure-wise tempo distribution.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20203 - Telecommunications
Result continuities
Project
<a href="/en/project/EF19_073%2F0016948" target="_blank" >EF19_073/0016948: Quality internal grants at BUT</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
45th International Conference on Telecommunications and Signal Processing (TSP)
ISBN
978-1-6654-6948-7
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
192-195
Publisher name
IEEE
Place of publication
neuveden
Event location
Prague
Event date
Jul 13, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—