T1: Artificial Intelligence in Music (AI-Music)

Date and time: October 21, 2022

Organizers and Presenters

Cong Jin
Communication University of China, China

Tutorial Summary

As the concept of artificial intelligence is becoming more and more popular as a national strategy, the term AI-Music has appeared in the music field. Artificial intelligence (AI) technoloy is currently the main focus of algorithmic research in the domestic music field, and there is a trend of its cross-integration in the fields of music creation, music education and music protection. Looking back at the development of AI-Music, AI first originated in algorithmic composition, and now deep learning composition has become mainstream. A series of AI technologies such as voice synthesis, audio-video and image recognition, and interactive technologies, have driven innovations in music creation modes, personalized customization of streaming media, and audio device production.

In addition, there are many areas worth paying attention to in the field of music artificial intelligence. For example, meta-learning, self-supervised learning, and distillation learning. In order to better predict and help achieve practical application of AI-Music, we need to extend the existing methods and update the current technology.

At the same time, AI-Music also faces some challenges. For instance, the beauty of music often comes from a balance. It is not only about the balance of rhythm, accompaniment, human voices, and instrument sound, but also the balance of various emotions. Therefore, it may be necessary to consider more about the balance in research, instead of focusing only on the superior prediction like most contemporary research. We hope to integrate musical understanding into artificial intelligence to expand our research ideas.

Topics to be Covered

The purpose of this workshop is to bring together academic researchers, engineers and individuals working in these fields to explore the future development scope and possibilities of AI music. We welcome all original research related to one or any aspects of artificial intelligence for music of all types.

Intended Audience

Students, researchers, and developers interested in AI-Music, with a background in computer, AI, art, communication, networking, or computing.

Invited Speakers

Xi Shao, Nanjing university of posts and telecommunications

Xi Shao, Ph.D., Associate Professor, received his B.E. and M.E. degrees from the Department of Computer Science and Technology, Nanjing University of Posts and Telecommunications in June 1999 and April 2002, respectively. D. degree in Philosophy. His PhD research interests are in multimedia systems and content-based music information retrieval. Currently, he is a member of IEEE Trans on Multimedia, IEEE Trans on Audio Speech and Language Processing, IEEE Trans on Information Forensic and Security, ACM Trans on Multimedia Computing Communications and Applications, Multimedia Systems Journal, ETRI (Electronics and Telecommunications Research Institute), Korea Research Institute, etc. He has been a reviewer for ETRI (Electronics and Telecommunications Research Institute) and other journals.) He has served as a reviewer for ACM SIG on Multimedia Conference 2008, International Conference on Internet and Multimedia Systems and Applications 2008, International Conference on Wireless Communications and Signal Processing (ICWSP) 2008, and International Conference on Multimedia Systems and Applications 2008. He has served as a member of the Technical Program Committee of ACM SIG on Multimedia Conference 2008, International Conference on Internet and Multimedia Systems and Applications 2008, International Conference on Wireless Communications and Signal Processing (WCSP 2009, 2010, 2011), and other international conferences.

Jing Wang, Beijing Institute of Technology

Dr. Jing Wang is an associate professor in the Institute of Communication Technology, School of Information and Electronics, Beijing Institute of Technology, Beijing, China. He has submitted several test reports and proposals to ITU/3GPP/AVS and other domestic and international standards organizations. Currently, he is a member of IEEE, AES, AVS working group, senior member of Chinese Institute of Electronics, senior member of Chinese Communication Society, member of CCF Speech Dialogue and Hearing Professional Group, etc.

Yu Pan, Central Conservatory of Music

Senior Engineer, Department of Music Artificial Intelligence and Music Information Technology, Central Conservatory of Music. executive member of CCF Computing Arts Sub-committee. member of CAAI Special Committee on Art and Artificial Intelligence. He is currently involved in the general project of National Social Science Foundation of China, "Research on Artificial Intelligence Notation of Chinese Traditional Music - Taking Jiangnan Silk and Bamboo as an Example". He is also involved in the sub-project "Innovative Research on Collaborative Development of Music Composition and Artificial Intelligence" of the major project of National Social Science of Central Conservatory of Music, "Theoretical Research on Collaborative Innovation and Development of Music and Artificial Intelligence". His main interest research: music information retrieval, intelligent music education, and intelligent music performance.

Cong Jin, Communication University of China

Cong Jin, PhD, Assistant Researcher. His research interests include intelligent media computing, pattern recognition, and reinforcement learning. He participated in the National Natural Science Foundation of China's key project "Research on Audio Restoration Methods and Key Technologies for Historical Audio and Video Materials" and the National Key Research and Development Program "Research and Development of Key Technologies and System Integration for Virtual Pre-performance of Film and Television Production". He is currently a member of the Art and Artificial Intelligence Committee of the Artificial Intelligence Society, a member of the Youth Engineering Committee, and a member of the Executive Committee of the Multimedia Committee of the Computer Society. He has published more than 30 academic papers in IEEE, Springer and other international journals and conferences, including more than 10 SCI and EI retrieved journals, and applied for 3 national invention patents.