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Virtual Singers Empowered by Machine Learning
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Author(s): Siyao Li (City University of Macau, Macao), Haoyu Liu (City University of Macau, Macao)and Pi-Ying Yen (Macau University of Science and Technology, Macao)
Copyright: 2023
Pages: 8
Source title:
Encyclopedia of Data Science and Machine Learning
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-7998-9220-5.ch020
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Abstract
Combining emerging technology with entertainment, virtual singers empowered by machine learning are a relatively new but booming industry. The article introduces the application of machine learning in music, especially how machine learning is used to create the virtual singer industry. Though this industry is attractive and has already achieved significant success, it also faces considerable challenges. This article contributes to understanding the novel virtual singer industry, as well as providing suggestions on how to resolve the challenges it faces. Future research directions about virtual singers are also discussed.
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