Pattern Processing in Music

Robert Rowe; Tang Chun Li

Pattern Processing in Music

Research output: Contribution to conference › Paper › peer-review

Abstract

A real-time pattern processing application has been developed that can learn and identify melodic sequences in a stream of MIDI data. The application is based on earlier work on score following and pattern matching developed by Dannenberg, Pennycook, and others. This paper traces extensions implemented to address the particular problems of realtime pattern induction and identification and outlines the developed algorithm.

Original language	English (US)
Pages	60-62
Number of pages	3
State	Published - 1994
Event	20th International Computer Music Conference, ICMC 1994 - Aarhus, Denmark Duration: Sep 12 1994 → Sep 17 1994

Conference

Conference	20th International Computer Music Conference, ICMC 1994
Country/Territory	Denmark
City	Aarhus
Period	9/12/94 → 9/17/94

ASJC Scopus subject areas

Media Technology
Computer Science Applications
Music

Cite this

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title = "Pattern Processing in Music",

abstract = "A real-time pattern processing application has been developed that can learn and identify melodic sequences in a stream of MIDI data. The application is based on earlier work on score following and pattern matching developed by Dannenberg, Pennycook, and others. This paper traces extensions implemented to address the particular problems of realtime pattern induction and identification and outlines the developed algorithm.",

author = "Robert Rowe and Li, {Tang Chun}",

note = "Funding Information: The research reported in the paper was made possible by a grant from the New York University Research Challenge Fund. Thanks to Dale Stammen and Bruce Pennycook of McGill University for sharing ideas and code. Publisher Copyright: {\textcopyright} ICMC 1994. All Rights Reserved.; 20th International Computer Music Conference, ICMC 1994 ; Conference date: 12-09-1994 Through 17-09-1994",

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pages = "60--62",

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N1 - Funding Information: The research reported in the paper was made possible by a grant from the New York University Research Challenge Fund. Thanks to Dale Stammen and Bruce Pennycook of McGill University for sharing ideas and code. Publisher Copyright: © ICMC 1994. All Rights Reserved.

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N2 - A real-time pattern processing application has been developed that can learn and identify melodic sequences in a stream of MIDI data. The application is based on earlier work on score following and pattern matching developed by Dannenberg, Pennycook, and others. This paper traces extensions implemented to address the particular problems of realtime pattern induction and identification and outlines the developed algorithm.

AB - A real-time pattern processing application has been developed that can learn and identify melodic sequences in a stream of MIDI data. The application is based on earlier work on score following and pattern matching developed by Dannenberg, Pennycook, and others. This paper traces extensions implemented to address the particular problems of realtime pattern induction and identification and outlines the developed algorithm.

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M3 - Paper

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T2 - 20th International Computer Music Conference, ICMC 1994

Y2 - 12 September 1994 through 17 September 1994

ER -

Pattern Processing in Music

Abstract

Conference

ASJC Scopus subject areas

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