Rhythm recognition

• Thesis title in Czech: Rozpoznávání rytmu
• Thesis title in English: Rhythm recognition
• Key words: hudba|rytmus|tempo|Fourierova transformace
• English key words: music|rhythm|tempo|Fourier transform
• Academic year of topic announcement: 2023/2024
• Thesis type: Bachelor's thesis
• Thesis language: angličtina
• Department: Department of Applied Mathematics (32-KAM)
• Supervisor: Mgr. Martin Mareš, Ph.D.
• Author: Bc. Lucie Vomelová - assigned and confirmed by the Study Dept.
• Date of registration: 23.02.2024
• Date of assignment: 23.02.2024
• Confirmed by Study dept. on: 23.02.2024
• Date and time of defence: 28.06.2024 09:00
• Date of electronic submission: 09.05.2024
• Date of submission of printed version: 09.05.2024
• Date of proceeded defence: 28.06.2024
• Opponents: Mgr. Klára Pešková, Ph.D.

Guidelines

Cílem práce je prozkoumat metody pro rozpoznávání rytmu v hudebních nahrávkách, implementovat je, porovnat jejich funkčnost na reálných nahrávkách a případně navrhnout vylepšení.

References

Meinard Müller: Fundamentals of Music Processing - Audio, Analysis, Algorithms, Applications. ISBN 978-3-319-21945-5. Springer, 2015.

Bo Chen: Music Audio Rhythm Recognition Based on Recurrent Neural Network. Wireless Communications and Mobile Computing 2022(12):1-11. DOI:10.1155/2022/6249798.