Composing music with Neural Networks and probabilistic finite-state machines

Tomasz Oliwa; Markus Wagner

doi:10.1007/978-3-540-78761-7_55

Composing music with Neural Networks and probabilistic finite-state machines

Tomasz Oliwa
, Markus Wagner

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

14 Citations (Scopus)

Abstract

In this paper, biological (human) music composition systems based on Time Delay Neural Networks and Ward Nets and on a probabilistic Finite-State Machine will be presented. The systems acquire musical knowledge by inductive learning and are able to produce complete musical scores for multiple instruments and actual music in the MIDI format. The quality of our approaches is analyzed in objective and subjective manner with existing techniques.

Original language	English
Title of host publication	Applications of Evolutionary Computing - EvoWorkshops 2008
Subtitle of host publication	EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog, Proceedings
Publisher	Springer
Pages	503-508
Number of pages	6
ISBN (Print)	3540787607, 9783540787600
DOIs	https://doi.org/10.1007/978-3-540-78761-7_55
Publication status	Published - 2008
Externally published	Yes
Event	EvoWorkshops 2008 - Naples, Italy Duration: 26 Mar 2008 → 28 Mar 2008 https://link.springer.com/book/10.1007/978-3-540-78761-7 (Proceedings)

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4974 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Workshop

Workshop	EvoWorkshops 2008
Abbreviated title	EvoWorkshops 2008
Country/Territory	Italy
City	Naples
Period	26/03/08 → 28/03/08
Internet address	https://link.springer.com/book/10.1007/978-3-540-78761-7 (Proceedings)

Keywords

Biological inspired music
Comparative analysis
Finite state machines
Inductive learning
Music composition
Representation techniques
Time Delay Neural Networks

Access to Document

10.1007/978-3-540-78761-7_55

Cite this

Oliwa, T., & Wagner, M. (2008). Composing music with Neural Networks and probabilistic finite-state machines. In Applications of Evolutionary Computing - EvoWorkshops 2008: EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog, Proceedings (pp. 503-508). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4974 LNCS). Springer. https://doi.org/10.1007/978-3-540-78761-7_55

Oliwa, Tomasz ; Wagner, Markus. / Composing music with Neural Networks and probabilistic finite-state machines. Applications of Evolutionary Computing - EvoWorkshops 2008: EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog, Proceedings. Springer, 2008. pp. 503-508 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Composing music with Neural Networks and probabilistic finite-state machines",

abstract = "In this paper, biological (human) music composition systems based on Time Delay Neural Networks and Ward Nets and on a probabilistic Finite-State Machine will be presented. The systems acquire musical knowledge by inductive learning and are able to produce complete musical scores for multiple instruments and actual music in the MIDI format. The quality of our approaches is analyzed in objective and subjective manner with existing techniques.",

keywords = "Biological inspired music, Comparative analysis, Finite state machines, Inductive learning, Music composition, Representation techniques, Time Delay Neural Networks",

author = "Tomasz Oliwa and Markus Wagner",

year = "2008",

doi = "10.1007/978-3-540-78761-7\_55",

language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer",

pages = "503--508",

booktitle = "Applications of Evolutionary Computing - EvoWorkshops 2008",

address = "Switzerland",

note = "EvoWorkshops 2008, EvoWorkshops 2008 ; Conference date: 26-03-2008 Through 28-03-2008",

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Oliwa, T & Wagner, M 2008, Composing music with Neural Networks and probabilistic finite-state machines. in Applications of Evolutionary Computing - EvoWorkshops 2008: EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4974 LNCS, Springer, pp. 503-508, EvoWorkshops 2008, Naples, Italy, 26/03/08. https://doi.org/10.1007/978-3-540-78761-7_55

Composing music with Neural Networks and probabilistic finite-state machines. / Oliwa, Tomasz; Wagner, Markus.
Applications of Evolutionary Computing - EvoWorkshops 2008: EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog, Proceedings. Springer, 2008. p. 503-508 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4974 LNCS).

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

TY - GEN

T1 - Composing music with Neural Networks and probabilistic finite-state machines

AU - Oliwa, Tomasz

AU - Wagner, Markus

PY - 2008

Y1 - 2008

N2 - In this paper, biological (human) music composition systems based on Time Delay Neural Networks and Ward Nets and on a probabilistic Finite-State Machine will be presented. The systems acquire musical knowledge by inductive learning and are able to produce complete musical scores for multiple instruments and actual music in the MIDI format. The quality of our approaches is analyzed in objective and subjective manner with existing techniques.

AB - In this paper, biological (human) music composition systems based on Time Delay Neural Networks and Ward Nets and on a probabilistic Finite-State Machine will be presented. The systems acquire musical knowledge by inductive learning and are able to produce complete musical scores for multiple instruments and actual music in the MIDI format. The quality of our approaches is analyzed in objective and subjective manner with existing techniques.

KW - Biological inspired music

KW - Comparative analysis

KW - Finite state machines

KW - Inductive learning

KW - Music composition

KW - Representation techniques

KW - Time Delay Neural Networks

UR - https://www.scopus.com/pages/publications/47249124122

U2 - 10.1007/978-3-540-78761-7_55

DO - 10.1007/978-3-540-78761-7_55

M3 - Conference Paper

AN - SCOPUS:47249124122

SN - 3540787607

SN - 9783540787600

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 503

EP - 508

BT - Applications of Evolutionary Computing - EvoWorkshops 2008

PB - Springer

T2 - EvoWorkshops 2008

Y2 - 26 March 2008 through 28 March 2008

ER -

Oliwa T, Wagner M. Composing music with Neural Networks and probabilistic finite-state machines. In Applications of Evolutionary Computing - EvoWorkshops 2008: EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog, Proceedings. Springer. 2008. p. 503-508. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-78761-7_55

Composing music with Neural Networks and probabilistic finite-state machines

Abstract

Publication series

Workshop

Keywords

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Cite this