Beat Tracking System Based On A Neural Network
Loading...
Date
2021
Authors
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract
This thesis deals with systems for tempo and beat detection in music recordings, whosefunctionality is based on neural networks. The basic structure of such systems is briefly described andthe emphasis is then placed on a comparison of recurrent and temporal convolutional networks, whichhave proven to be the most suitable for this task. The main outcome of this work is then proposaland comparison of modified temporal convolutional network with other state-of-the-art networks ina beat tracking system. The results suggest that simplification in existing architectures could benefitfrom faster training times, while it maintains or slightly improves the accuracy of a detection system.
Description
Citation
Proceedings I of the 27st Conference STUDENT EEICT 2021: General papers. s. 291-294. ISBN 978-80-214-5942-7
https://conf.feec.vutbr.cz/eeict/index/pages/view/ke_stazeni
https://conf.feec.vutbr.cz/eeict/index/pages/view/ke_stazeni
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
cs
Study field
Comittee
Date of acceptance
Defence
Result of defence
Document licence
© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií