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IŠTVÁNEK, M. MIKLÁNEK, Š.
Originální název
Beat Tracking: Is 44.1 kHz Really Needed?
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Beat tracking is essential in music information retrieval, with applications ranging from music analysis and automatic playlist generation to beat-synchronized effects. In recent years, deep learning methods, usually inspired by well-known architectures, outperformed other beat tracking algorithms. The current state-of-the-art offline beat tracking systems utilize temporal convolutional and recurrent networks. Most systems use an input sampling rate of 44.1 kHz. In this paper, we retrain multiple versions of state-of-the-art temporal convolutional networks with different input sampling rates while keeping the time resolution by changing the frame size parameter. Furthermore, we evaluate all models using standard metrics. As the main contribution, we show that decreasing the input audio recording sampling frequency up to 5 kHz preserves most of the accuracy, and in some cases, even slightly outperforms the standard approach.
Klíčová slova
Beat tracking; music information retrieval; temporal convolutional networks; machine learning
Autoři
IŠTVÁNEK, M.; MIKLÁNEK, Š.
Vydáno
25. 4. 2023
Nakladatel
Brno University of Technology, Faculty of Elektronic Engineering and Communication
Místo
Brno
ISBN
978-80-214-6154-3
Kniha
Proceedings II of the 29th Conference STUDENT EEICT 2023 Selected Papers
Edice
1
Strany od
227
Strany do
231
Strany počet
5
URL
https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_2_v2.pdf
BibTex
@inproceedings{BUT183747, author="Matěj {Ištvánek} and Štěpán {Miklánek}", title="Beat Tracking: Is 44.1 kHz Really Needed?", booktitle="Proceedings II of the 29th Conference STUDENT EEICT 2023 Selected Papers", year="2023", series="1", pages="227--231", publisher="Brno University of Technology, Faculty of Elektronic Engineering and Communication", address="Brno", doi="10.13164/eeict.2023.227", isbn="978-80-214-6154-3", url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_2_v2.pdf" }