Exploring the Role of Deep Learning Technology in the Sustainable Development of the Music Production Industry
This study explores the role of deep learning technology in the sustainable development of the music production industry. This article surveys the opinions of Taiwanese music creation professionals and uses partial least squares (PLS) regression to analyze and elucidate the importance of deep learni...
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2020-01-01
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Online Access: | https://www.mdpi.com/2071-1050/12/2/625 |
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doaj-f7386c466c8d44689d66f982d68d55f22020-11-25T03:30:24ZengMDPI AGSustainability2071-10502020-01-0112262510.3390/su12020625su12020625Exploring the Role of Deep Learning Technology in the Sustainable Development of the Music Production IndustrySung-Shun Weng0Hung-Chia Chen1Department of Information and Finance Management, National Taipei University of Technology, 1, Sec. 3, Zhongxiao E. Rd., Taipei 10608, TaiwanCollege of Management, National Taipei University of Technology, 1, Sec. 3, Zhongxiao E. Rd., Taipei 10608, TaiwanThis study explores the role of deep learning technology in the sustainable development of the music production industry. This article surveys the opinions of Taiwanese music creation professionals and uses partial least squares (PLS) regression to analyze and elucidate the importance of deep learning technology in the music production industry. We found that deep learning cannot replace human creativity, but greater investment in this technology can improve the quality of music creation. In order to achieve sustainable development in the music production industry, industry participants need to awaken consumers’ awareness of music quality, actively enhance the unique value of their art, and strengthen cooperation between industries to provide a friendly environment for listeners.https://www.mdpi.com/2071-1050/12/2/625music production industrymusic-artdeep-learning technologymusic for sustainability |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sung-Shun Weng Hung-Chia Chen |
spellingShingle |
Sung-Shun Weng Hung-Chia Chen Exploring the Role of Deep Learning Technology in the Sustainable Development of the Music Production Industry Sustainability music production industry music-art deep-learning technology music for sustainability |
author_facet |
Sung-Shun Weng Hung-Chia Chen |
author_sort |
Sung-Shun Weng |
title |
Exploring the Role of Deep Learning Technology in the Sustainable Development of the Music Production Industry |
title_short |
Exploring the Role of Deep Learning Technology in the Sustainable Development of the Music Production Industry |
title_full |
Exploring the Role of Deep Learning Technology in the Sustainable Development of the Music Production Industry |
title_fullStr |
Exploring the Role of Deep Learning Technology in the Sustainable Development of the Music Production Industry |
title_full_unstemmed |
Exploring the Role of Deep Learning Technology in the Sustainable Development of the Music Production Industry |
title_sort |
exploring the role of deep learning technology in the sustainable development of the music production industry |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2020-01-01 |
description |
This study explores the role of deep learning technology in the sustainable development of the music production industry. This article surveys the opinions of Taiwanese music creation professionals and uses partial least squares (PLS) regression to analyze and elucidate the importance of deep learning technology in the music production industry. We found that deep learning cannot replace human creativity, but greater investment in this technology can improve the quality of music creation. In order to achieve sustainable development in the music production industry, industry participants need to awaken consumers’ awareness of music quality, actively enhance the unique value of their art, and strengthen cooperation between industries to provide a friendly environment for listeners. |
topic |
music production industry music-art deep-learning technology music for sustainability |
url |
https://www.mdpi.com/2071-1050/12/2/625 |
work_keys_str_mv |
AT sungshunweng exploringtheroleofdeeplearningtechnologyinthesustainabledevelopmentofthemusicproductionindustry AT hungchiachen exploringtheroleofdeeplearningtechnologyinthesustainabledevelopmentofthemusicproductionindustry |
_version_ |
1724575833629130752 |