東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Creating Musical Scores Inspired by the Intersection of Human Speech and Music Through Model-Based Cross Synthesis./
作者:	Thompson, William Alexander.
面頁冊數:	1 online resource (166 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-03, Section: B.
Contained By:	Dissertations Abstracts International84-03B.
標題:	Language. -
電子資源:	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.
LDR:02288nmm a2200373K 4500 001 2359053
005 20230906055300.5
006 m o d
007 cr mn ---uuuuu
008 241011s2022 xx obm 000 0 eng d
020 $a 9798845454607
035 $a (MiAaPQ)AAI29281527
035 $a (MiAaPQ)Louisianagradschool_dissertations-6967
035 $a AAI29281527
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Thompson, William Alexander. $3 3699613
245 1 0 $a Creating Musical Scores Inspired by the Intersection of Human Speech and Music Through Model-Based Cross Synthesis.
264 0 $c 2022
300 $a 1 online resource (166 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
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
650 4 $a Language. $3 643551
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
650 4 $a Consciousness. $3 517079
650 4 $a Melody. $3 3214554
650 4 $a Rhythm. $3 586705
650 4 $a Speech. $3 530580
650 4 $a Fine arts. $3 2122690
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0290
690 $a 0679
690 $a 0413
690 $a 0800
690 $a 0357
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)