Automatic drum transcription using bi-directional recurrent neural networks

Carl Southall; Ryan Stables; Jason Hockman

Automatic drum transcription using bi-directional recurrent neural networks

Carl Southall, Ryan Stables, Jason Hockman

Birmingham City University

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

36 Citations (SciVal)

Original language	English
Title of host publication	Proceedings of the 17th International Society for Music Information Retrieval Conference, ISMIR 2016
Editors	Michael I. Mandel, Johanna Devaney, Douglas Turnbull, George Tzanetakis
Publisher	International Society for Music Information Retrieval
Pages	591-597
Number of pages	7
ISBN (Electronic)	9780692755068
Publication status	Published (VoR) - 2016
Event	17th International Society for Music Information Retrieval Conference, ISMIR 2016 - New York, United States Duration: 7 Aug 2016 → 11 Aug 2016

Publication series

Name	Proceedings of the 17th International Society for Music Information Retrieval Conference, ISMIR 2016

Conference

Conference	17th International Society for Music Information Retrieval Conference, ISMIR 2016
Country/Territory	United States
City	New York
Period	7/08/16 → 11/08/16

Cite this

Southall, C., Stables, R., & Hockman, J. (2016). Automatic drum transcription using bi-directional recurrent neural networks. In M. I. Mandel, J. Devaney, D. Turnbull, & G. Tzanetakis (Eds.), Proceedings of the 17th International Society for Music Information Retrieval Conference, ISMIR 2016 (pp. 591-597). (Proceedings of the 17th International Society for Music Information Retrieval Conference, ISMIR 2016). International Society for Music Information Retrieval.

Southall, Carl ; Stables, Ryan ; Hockman, Jason. / Automatic drum transcription using bi-directional recurrent neural networks. Proceedings of the 17th International Society for Music Information Retrieval Conference, ISMIR 2016. editor / Michael I. Mandel ; Johanna Devaney ; Douglas Turnbull ; George Tzanetakis. International Society for Music Information Retrieval, 2016. pp. 591-597 (Proceedings of the 17th International Society for Music Information Retrieval Conference, ISMIR 2016).

@inproceedings{8b35492ca81c4215bdf488c611531601,

title = "Automatic drum transcription using bi-directional recurrent neural networks",

author = "Carl Southall and Ryan Stables and Jason Hockman",

note = "Publisher Copyright: {\textcopyright} Carl Southall, Ryan Stables, Jason Hockman.; 17th International Society for Music Information Retrieval Conference, ISMIR 2016 ; Conference date: 07-08-2016 Through 11-08-2016",

year = "2016",

language = "English",

series = "Proceedings of the 17th International Society for Music Information Retrieval Conference, ISMIR 2016",

publisher = "International Society for Music Information Retrieval",

pages = "591--597",

editor = "Mandel, \{Michael I.\} and Johanna Devaney and Douglas Turnbull and George Tzanetakis",

booktitle = "Proceedings of the 17th International Society for Music Information Retrieval Conference, ISMIR 2016",

}

Southall, C, Stables, R & Hockman, J 2016, Automatic drum transcription using bi-directional recurrent neural networks. in MI Mandel, J Devaney, D Turnbull & G Tzanetakis (eds), Proceedings of the 17th International Society for Music Information Retrieval Conference, ISMIR 2016. Proceedings of the 17th International Society for Music Information Retrieval Conference, ISMIR 2016, International Society for Music Information Retrieval, pp. 591-597, 17th International Society for Music Information Retrieval Conference, ISMIR 2016, New York, United States, 7/08/16.

Automatic drum transcription using bi-directional recurrent neural networks. / Southall, Carl; Stables, Ryan; Hockman, Jason.
Proceedings of the 17th International Society for Music Information Retrieval Conference, ISMIR 2016. ed. / Michael I. Mandel; Johanna Devaney; Douglas Turnbull; George Tzanetakis. International Society for Music Information Retrieval, 2016. p. 591-597 (Proceedings of the 17th International Society for Music Information Retrieval Conference, ISMIR 2016).

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

TY - GEN

T1 - Automatic drum transcription using bi-directional recurrent neural networks

AU - Southall, Carl

AU - Stables, Ryan

AU - Hockman, Jason

N1 - Publisher Copyright: © Carl Southall, Ryan Stables, Jason Hockman.

PY - 2016

Y1 - 2016

UR - https://www.scopus.com/pages/publications/85044052239

UR - https://www.scopus.com/inward/citedby.url?scp=85044052239&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85044052239

T3 - Proceedings of the 17th International Society for Music Information Retrieval Conference, ISMIR 2016

SP - 591

EP - 597

BT - Proceedings of the 17th International Society for Music Information Retrieval Conference, ISMIR 2016

A2 - Mandel, Michael I.

A2 - Devaney, Johanna

A2 - Turnbull, Douglas

A2 - Tzanetakis, George

PB - International Society for Music Information Retrieval

T2 - 17th International Society for Music Information Retrieval Conference, ISMIR 2016

Y2 - 7 August 2016 through 11 August 2016

ER -

Southall C, Stables R, Hockman J. Automatic drum transcription using bi-directional recurrent neural networks. In Mandel MI, Devaney J, Turnbull D, Tzanetakis G, editors, Proceedings of the 17th International Society for Music Information Retrieval Conference, ISMIR 2016. International Society for Music Information Retrieval. 2016. p. 591-597. (Proceedings of the 17th International Society for Music Information Retrieval Conference, ISMIR 2016).

Automatic drum transcription using bi-directional recurrent neural networks

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REF2021 11Z_ICS_C Intelligent Music Production: saving time for experienced engineers, lowering barriers to entry for hobbyists

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Automatic drum transcription using bi-directional recurrent neural networks

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Conference

Other files and links

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Impacts

REF2021 11Z_ICS_C Intelligent Music Production: saving time for experienced engineers, lowering barriers to entry for hobbyists

Cite this