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Detail publikace
ÖZER, Y. IŠTVÁNEK, M. ARIFI-MÜLLER, V. MÜLLER, M.
Originální název
Using Activation Functions for Improving Measure-Level Audio Synchronization
Typ
článek ve sborníku mimo WoS a Scopus
Jazyk
angličtina
Originální abstrakt
Audio synchronization aims at aligning multiple recordings of the same piece of music. Traditional synchronization approaches are often based on dynamic time warping using chroma features as an input representation. Previous work has shown how one can integrate onset cues into this pipeline for improving the alignment’s temporal accuracy. Furthermore, recent work based on deep neural networks has led to significant improvements for learning onset, beat, and downbeat activation functions. However, for music with soft onsets and abrupt tempo changes, these functions may be unreliable, leading to unstable results. As the main contribution of this paper, we introduce a combined approach that integrates activation functions into the synchronization pipeline. We show that this approach improves the temporal accuracy thanks to the activation cues while inheriting the robustness of the traditional synchronization approach. Conducting experiments based on string quartet recordings, we evaluate our combined approach where we transfer measure annotations from a reference recording to a target recording.
Klíčová slova
audio synchronization; music information retrieval; measure transfer; activation functions; beat tracking
Autoři
ÖZER, Y.; IŠTVÁNEK, M.; ARIFI-MÜLLER, V.; MÜLLER, M.
Vydáno
7. 12. 2022
Strany od
750
Strany do
756
Strany počet
7
URL
https://ismir2022program.ismir.net/poster_195.html
BibTex
@inproceedings{BUT180267, author="Yigitcan {Özer} and Matěj {Ištvánek} and Vlora {Arifi-Müller} and Meinard {Müller}", title="Using Activation Functions for Improving Measure-Level Audio Synchronization", booktitle="Proceedings of the International Society for Music Information Retrieval Conference (ISMIR)", year="2022", pages="7", url="https://ismir2022program.ismir.net/poster_195.html" }
Dokumenty
2022_OezerIAM_MusicSync_ISMIR.pdf