Onset Detection for String Instruments Using Bidirectional Temporal and Convolutional Recurrent Networks

Author:

Tomczak Maciej1ORCID,Hockman Jason1ORCID

Affiliation:

1. Sound and Music Analysis Group (SoMA), Digital Media Technology Lab (DMT Lab), School of Computing and Digital Technology, Birmingham City University, United Kingdom

Funder

Engineering and Physical Sciences Research Council

Publisher

ACM

Reference25 articles.

1. Shaojie Bai , J.  Zico Kolter , and Vladlen Koltun . 2018. An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling. arXiv:1803.01271. Retrieved from https://arxiv.org/abs/1803.01271 ( 2018 ). Shaojie Bai, J. Zico Kolter, and Vladlen Koltun. 2018. An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling. arXiv:1803.01271. Retrieved from https://arxiv.org/abs/1803.01271 (2018).

2. A tutorial on onset detection in music signals

3. Sebastian Böck . 2016. Event Detection in Musical Audio. Ph. D. Dissertation . Johannes Kelper University Linz . Sebastian Böck. 2016. Event Detection in Musical Audio. Ph. D. Dissertation. Johannes Kelper University Linz.

4. Sebastian Böck , Andreas Arzt , Florian Krebs , and Markus Schedl . 2012 . Online Real-time Onset Detection with Recurrent Neural Networks . In Proceedings of the International Conference on Digital Audio Effects (DAFx) , York, UK. Sebastian Böck, Andreas Arzt, Florian Krebs, and Markus Schedl. 2012. Online Real-time Onset Detection with Recurrent Neural Networks. In Proceedings of the International Conference on Digital Audio Effects (DAFx), York, UK.

5. Sebastian Böck and Matthew  E.P. Davies . 2020 . Deconstruct, Analyse, Reconstruct: How to improve Tempo, Beat, and Downbeat Estimation . In Proceedings of the International Society for Music Information Retrieval Conference (ISMIR) , Montréal, Canada. 574–582. Sebastian Böck and Matthew E.P. Davies. 2020. Deconstruct, Analyse, Reconstruct: How to improve Tempo, Beat, and Downbeat Estimation. In Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), Montréal, Canada. 574–582.

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