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Creating Musical Scores Inspired by the Intersection of Human Speech and Music Through Model-Based Cross Synthesis.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Creating Musical Scores Inspired by the Intersection of Human Speech and Music Through Model-Based Cross Synthesis./
Author:	Thompson, William Alexander.
Description:	1 online resource (166 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 84-03, Section: B.
Contained By:	Dissertations Abstracts International84-03B.
Subject:	Language. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29281527click for full text (PQDT)
ISBN:	9798845454607

Creating Musical Scores Inspired by the Intersection of Human Speech and Music Through Model-Based Cross Synthesis.
Thompson, William Alexander.

Creating Musical Scores Inspired by the Intersection of Human Speech and Music Through Model-Based Cross Synthesis. - 1 online resource (166 pages)

Source: Dissertations Abstracts International, Volume: 84-03, Section: B.

Thesis (Ph.D.)--Louisiana State University and Agricultural & Mechanical College, 2022.

Includes bibliographical references

This research addresses the development of machine learning techniques used to create musical scores and performances that are inspired by the intersection of speech and music. Machine learning models are created from MIDI files that are transcribed from datasets of musical audio recordings and human speech audio recordings. Through the creation of succinct models, model based cross synthesis is possible. Models trained on musical MIDI data are asked to replicate MIDI data that approximate human speech. Alternatively, models that have been trained on MIDI data that approximate speech are asked to replicate musical MIDI data. The product of these developed techniques is a collection of piano music, Seven Piano Etudes Speaks the Moody Machine. These etudes are intended to be performed on one Yamaha Disklavier piano with two performers, one human pianist and one machine player piano.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798845454607Subjects--Topical Terms:

643551
Language.
Index Terms--Genre/Form:

542853
Electronic books.

Creating Musical Scores Inspired by the Intersection of Human Speech and Music Through Model-Based Cross Synthesis.
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245 1 0 $a Creating Musical Scores Inspired by the Intersection of Human Speech and Music Through Model-Based Cross Synthesis.
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300 $a 1 online resource (166 pages)
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500 $a Source: Dissertations Abstracts International, Volume: 84-03, Section: B.
500 $a Advisor: Allison, Jesse.
502 $a Thesis (Ph.D.)--Louisiana State University and Agricultural & Mechanical College, 2022.
504 $a Includes bibliographical references
520 $a This research addresses the development of machine learning techniques used to create musical scores and performances that are inspired by the intersection of speech and music. Machine learning models are created from MIDI files that are transcribed from datasets of musical audio recordings and human speech audio recordings. Through the creation of succinct models, model based cross synthesis is possible. Models trained on musical MIDI data are asked to replicate MIDI data that approximate human speech. Alternatively, models that have been trained on MIDI data that approximate speech are asked to replicate musical MIDI data. The product of these developed techniques is a collection of piano music, Seven Piano Etudes Speaks the Moody Machine. These etudes are intended to be performed on one Yamaha Disklavier piano with two performers, one human pianist and one machine player piano.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
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650 4 $a Piano. $3 526062
650 4 $a Music. $3 516178
650 4 $a Human performance. $3 3562051
650 4 $a Neural networks. $3 677449
650 4 $a Audio recordings. $3 3544031
650 4 $a Linguistics. $3 524476
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650 4 $a Melody. $3 3214554
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710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a Louisiana State University and Agricultural & Mechanical College. $3 783779
773 0 $t Dissertations Abstracts International $g 84-03B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29281527 $z click for full text (PQDT)