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

MacIej Tomczak; Jason Hockman

doi:10.1145/3616195.3616206

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

MacIej Tomczak, Jason Hockman

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	Proceedings of the 18th International Audio Mostly Conference, AM 2023
Publisher	Association for Computing Machinery
Pages	136-142
Number of pages	7
ISBN (Electronic)	9798400708183
DOIs	https://doi.org/10.1145/3616195.3616206
Publication status	Published (VoR) - 30 Aug 2023
Event	18th International Audio Mostly Conference, AM 2023 - Edinburgh, United Kingdom Duration: 30 Aug 2023 → 1 Sept 2023

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	18th International Audio Mostly Conference, AM 2023
Country/Territory	United Kingdom
City	Edinburgh
Period	30/08/23 → 1/09/23

Funding

This project is kindly funded by Engineering and Physical Sciences Research Council (EPSRC) grant with reference EP/V034987/1. We would like to thank Susan Li for helping to review the annotations.

Funders	Funder number
Engineering and Physical Sciences Research Council	EP/V034987/1

Keywords

Music information retrieval
onset detection
recurrent convolutional neural networks
temporal convolutional networks

Access to Document

10.1145/3616195.3616206Licence: CC BY-SA

Cite this

@inproceedings{b3de9fd75a014ae081f87b397bd63214,

title = "Onset Detection for String Instruments Using Bidirectional Temporal and Convolutional Recurrent Networks",

keywords = "Music information retrieval, onset detection, recurrent convolutional neural networks, temporal convolutional networks",

author = "MacIej Tomczak and Jason Hockman",

note = "Publisher Copyright: {\textcopyright} 2023 Owner/Author.; 18th International Audio Mostly Conference, AM 2023 ; Conference date: 30-08-2023 Through 01-09-2023",

year = "2023",

month = aug,

day = "30",

doi = "10.1145/3616195.3616206",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

pages = "136--142",

booktitle = "Proceedings of the 18th International Audio Mostly Conference, AM 2023",

}

Tomczak, M & Hockman, J 2023, Onset Detection for String Instruments Using Bidirectional Temporal and Convolutional Recurrent Networks. in Proceedings of the 18th International Audio Mostly Conference, AM 2023. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 136-142, 18th International Audio Mostly Conference, AM 2023, Edinburgh, United Kingdom, 30/08/23. https://doi.org/10.1145/3616195.3616206

Onset Detection for String Instruments Using Bidirectional Temporal and Convolutional Recurrent Networks. / Tomczak, MacIej; Hockman, Jason.
Proceedings of the 18th International Audio Mostly Conference, AM 2023. Association for Computing Machinery, 2023. p. 136-142 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Onset Detection for String Instruments Using Bidirectional Temporal and Convolutional Recurrent Networks

AU - Tomczak, MacIej

AU - Hockman, Jason

PY - 2023/8/30

Y1 - 2023/8/30

KW - Music information retrieval

KW - onset detection

KW - recurrent convolutional neural networks

KW - temporal convolutional networks

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DO - 10.1145/3616195.3616206

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T3 - ACM International Conference Proceeding Series

SP - 136

EP - 142

BT - Proceedings of the 18th International Audio Mostly Conference, AM 2023

PB - Association for Computing Machinery

T2 - 18th International Audio Mostly Conference, AM 2023

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ER -

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

Publication series

Conference

Funding

Keywords

Access to Document

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