AI applications on music technology for edutainment

Von Wun Soo; Chih Fang Huang; Yu Huei Su; Mei Ju Su

doi:10.1007/978-3-319-99737-7_63

AI applications on music technology for edutainment

Von Wun Soo, Chih Fang Huang^*, Yu Huei Su, Mei Ju Su

^*Corresponding author for this work

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

4 Scopus citations

Abstract

Music composition for songs is difficult for people, due to the necessity of the complicated music composition theory and the combined artistic conception and emotion-based ideas. The emotional representation can define the valence and arousal coordinate, and it is possible to perform the mapping technique between music and emotion, according to lyrics emotion. The proposed emotion-based algorithmic music composition uses song lyrics emotion to classify music segments, and use the mapping between music and emotion. It can make people who even don’t know music theory easily compose a song. Some demos finally show the result of the research. Therefore the proposed method can be applied to such fields as the popular songs composition, background music, musical edutainment, education musicale, etc. Some traditional sources of entertainment have embraced AI to compose music and create stage performances. AI will increasingly enable entertainment that is more interactive, personalized, and engaging. In the future, more sophisticated tools and apps will become available to make it even easier to compose music. The creation and dissemination of entertainment will benefit from the progress of technologies such as ASR, dubbing, and Machine Translation, which will enable content to be customized to different audiences inexpensively. This democratization and proliferation of AI-created media makes it difficult to predict how humans’ taste for entertainment, which are already fluid, will evolve.

Original language	English
Title of host publication	Innovative Technologies and Learning - First International Conference, ICITL 2018, Proceedings
Editors	Lin Lin, Ting-Ting Wu, Yueh-Min Huang, Yueh-Min Huang, Andreja Istenic Starcic, Rustam Shadieva
Publisher	Springer Verlag
Pages	594-599
Number of pages	6
ISBN (Print)	9783319997360
DOIs	https://doi.org/10.1007/978-3-319-99737-7_63
State	Published - 2018
Externally published	Yes
Event	1st International Conference on Innovative Technologies and Learning, ICITL 2018 - Portoroz, Slovenia Duration: 27 08 2018 → 30 08 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11003 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	1st International Conference on Innovative Technologies and Learning, ICITL 2018
Country/Territory	Slovenia
City	Portoroz
Period	27/08/18 → 30/08/18

Bibliographical note

Publisher Copyright:
© 2018, Springer Nature Switzerland AG.

Keywords

AI-created media
Emotion-based algorithmic music composition
Emotional representation

Access to Document

10.1007/978-3-319-99737-7_63

Cite this

Soo, V. W., Huang, C. F., Su, Y. H., & Su, M. J. (2018). AI applications on music technology for edutainment. In L. Lin, T.-T. Wu, Y.-M. Huang, Y.-M. Huang, A. I. Starcic, & R. Shadieva (Eds.), Innovative Technologies and Learning - First International Conference, ICITL 2018, Proceedings (pp. 594-599). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11003 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-99737-7_63

Soo, Von Wun ; Huang, Chih Fang ; Su, Yu Huei et al. / AI applications on music technology for edutainment. Innovative Technologies and Learning - First International Conference, ICITL 2018, Proceedings. editor / Lin Lin ; Ting-Ting Wu ; Yueh-Min Huang ; Yueh-Min Huang ; Andreja Istenic Starcic ; Rustam Shadieva. Springer Verlag, 2018. pp. 594-599 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{8e8fa3dac9a54ca3a006e67131bda67b,

title = "AI applications on music technology for edutainment",

abstract = "Music composition for songs is difficult for people, due to the necessity of the complicated music composition theory and the combined artistic conception and emotion-based ideas. The emotional representation can define the valence and arousal coordinate, and it is possible to perform the mapping technique between music and emotion, according to lyrics emotion. The proposed emotion-based algorithmic music composition uses song lyrics emotion to classify music segments, and use the mapping between music and emotion. It can make people who even don{\textquoteright}t know music theory easily compose a song. Some demos finally show the result of the research. Therefore the proposed method can be applied to such fields as the popular songs composition, background music, musical edutainment, education musicale, etc. Some traditional sources of entertainment have embraced AI to compose music and create stage performances. AI will increasingly enable entertainment that is more interactive, personalized, and engaging. In the future, more sophisticated tools and apps will become available to make it even easier to compose music. The creation and dissemination of entertainment will benefit from the progress of technologies such as ASR, dubbing, and Machine Translation, which will enable content to be customized to different audiences inexpensively. This democratization and proliferation of AI-created media makes it difficult to predict how humans{\textquoteright} taste for entertainment, which are already fluid, will evolve.",

keywords = "AI-created media, Emotion-based algorithmic music composition, Emotional representation",

author = "Soo, {Von Wun} and Huang, {Chih Fang} and Su, {Yu Huei} and Su, {Mei Ju}",

note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG.; 1st International Conference on Innovative Technologies and Learning, ICITL 2018 ; Conference date: 27-08-2018 Through 30-08-2018",

year = "2018",

doi = "10.1007/978-3-319-99737-7_63",

language = "英语",

isbn = "9783319997360",

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

publisher = "Springer Verlag",

pages = "594--599",

editor = "Lin Lin and Ting-Ting Wu and Yueh-Min Huang and Yueh-Min Huang and Starcic, {Andreja Istenic} and Rustam Shadieva",

booktitle = "Innovative Technologies and Learning - First International Conference, ICITL 2018, Proceedings",

address = "德国",

}

Soo, VW, Huang, CF, Su, YH & Su, MJ 2018, AI applications on music technology for edutainment. in L Lin, T-T Wu, Y-M Huang, Y-M Huang, AI Starcic & R Shadieva (eds), Innovative Technologies and Learning - First International Conference, ICITL 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11003 LNCS, Springer Verlag, pp. 594-599, 1st International Conference on Innovative Technologies and Learning, ICITL 2018, Portoroz, Slovenia, 27/08/18. https://doi.org/10.1007/978-3-319-99737-7_63

AI applications on music technology for edutainment. / Soo, Von Wun; Huang, Chih Fang; Su, Yu Huei et al.
Innovative Technologies and Learning - First International Conference, ICITL 2018, Proceedings. ed. / Lin Lin; Ting-Ting Wu; Yueh-Min Huang; Yueh-Min Huang; Andreja Istenic Starcic; Rustam Shadieva. Springer Verlag, 2018. p. 594-599 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11003 LNCS).

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

TY - GEN

T1 - AI applications on music technology for edutainment

AU - Soo, Von Wun

AU - Huang, Chih Fang

AU - Su, Yu Huei

AU - Su, Mei Ju

PY - 2018

Y1 - 2018

N2 - Music composition for songs is difficult for people, due to the necessity of the complicated music composition theory and the combined artistic conception and emotion-based ideas. The emotional representation can define the valence and arousal coordinate, and it is possible to perform the mapping technique between music and emotion, according to lyrics emotion. The proposed emotion-based algorithmic music composition uses song lyrics emotion to classify music segments, and use the mapping between music and emotion. It can make people who even don’t know music theory easily compose a song. Some demos finally show the result of the research. Therefore the proposed method can be applied to such fields as the popular songs composition, background music, musical edutainment, education musicale, etc. Some traditional sources of entertainment have embraced AI to compose music and create stage performances. AI will increasingly enable entertainment that is more interactive, personalized, and engaging. In the future, more sophisticated tools and apps will become available to make it even easier to compose music. The creation and dissemination of entertainment will benefit from the progress of technologies such as ASR, dubbing, and Machine Translation, which will enable content to be customized to different audiences inexpensively. This democratization and proliferation of AI-created media makes it difficult to predict how humans’ taste for entertainment, which are already fluid, will evolve.

AB - Music composition for songs is difficult for people, due to the necessity of the complicated music composition theory and the combined artistic conception and emotion-based ideas. The emotional representation can define the valence and arousal coordinate, and it is possible to perform the mapping technique between music and emotion, according to lyrics emotion. The proposed emotion-based algorithmic music composition uses song lyrics emotion to classify music segments, and use the mapping between music and emotion. It can make people who even don’t know music theory easily compose a song. Some demos finally show the result of the research. Therefore the proposed method can be applied to such fields as the popular songs composition, background music, musical edutainment, education musicale, etc. Some traditional sources of entertainment have embraced AI to compose music and create stage performances. AI will increasingly enable entertainment that is more interactive, personalized, and engaging. In the future, more sophisticated tools and apps will become available to make it even easier to compose music. The creation and dissemination of entertainment will benefit from the progress of technologies such as ASR, dubbing, and Machine Translation, which will enable content to be customized to different audiences inexpensively. This democratization and proliferation of AI-created media makes it difficult to predict how humans’ taste for entertainment, which are already fluid, will evolve.

KW - AI-created media

KW - Emotion-based algorithmic music composition

KW - Emotional representation

UR - http://www.scopus.com/inward/record.url?scp=85053274237&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-99737-7_63

DO - 10.1007/978-3-319-99737-7_63

M3 - 会议稿件

AN - SCOPUS:85053274237

SN - 9783319997360

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

SP - 594

EP - 599

BT - Innovative Technologies and Learning - First International Conference, ICITL 2018, Proceedings

A2 - Lin, Lin

A2 - Wu, Ting-Ting

A2 - Huang, Yueh-Min

A2 - Starcic, Andreja Istenic

A2 - Shadieva, Rustam

PB - Springer Verlag

T2 - 1st International Conference on Innovative Technologies and Learning, ICITL 2018

Y2 - 27 August 2018 through 30 August 2018

ER -

Soo VW, Huang CF, Su YH, Su MJ. AI applications on music technology for edutainment. In Lin L, Wu TT, Huang YM, Huang YM, Starcic AI, Shadieva R, editors, Innovative Technologies and Learning - First International Conference, ICITL 2018, Proceedings. Springer Verlag. 2018. p. 594-599. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-99737-7_63

AI applications on music technology for edutainment

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this