Original title: Beat Tracking System Based On A Neural Network
Authors: Suchánek, Tomáš
Document type: Papers
Language: cze
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.
Keywords: Beat tracking; machine learning; neural network; signal processing
Host item entry: Proceedings I of the 27st Conference STUDENT EEICT 2021: General papers, ISBN 978-80-214-5942-7

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/200765

Permalink: http://www.nusl.cz/ntk/nusl-447810


The record appears in these collections:
Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers