Jingjing Tang

About Me

I am currently in my fourth year as a Ph.D. student in Artificial Intelligence and Music (AIM) program, at the C4DM, QMUL, supervised by Prof. George Fazekas and Prof. Geraint Wiggins. My research is centered around applying deep learning techniques to generate controllable, expressive piano performances, with a specific emphasis on creating pianist-style conditioned outputs. My academic interests span a range of topics, including controllable music generation, modeling of expressive performances, classification of performers, analysis of music performances, and related areas.

Education

• [Sep. 2020 - Now] Ph.D. Student in Artificial Intelligence and Music (AIM) program, at Queen Mary University of London
• [Sep. 2016 - May 2020] Bachelor of Science in Statistics (Data Science Branch), at Chinese Univeristy of Hong Kong, Shenzhen

Research Interests

• Automated Music Generation: controllable music generation, music style transfer, expressive performance rendering, music genration evaluation
• Music Information Retrieval: music performer/composer/style classification, music performance analysis, music transcription, music alignment algorithms
• Machine Learning: deep generative models, contrastive learning, few-shot learning, transfer learning

News

• [Feb. 2024] I started my research internship under supervision of Prof. Yamagishi Junichi at National Institute of Informatics.
• [Nov. 2023] Our papers about reconstructing human expressiveness in piano performances and a dataset of jazz variations for jazz standards were presented in the oral sessions at CMMR 2023, Japan.
• [Oct. 2023] Our paper about a pianist identification system was presented in the poster session at IS2 2023, Italy.
• [Dec. 2022] We released a large-scale dataset of the automatic transcribed expressive piano performances in ISMIR 2022, India.

Publications

Services

Conference Reviewers

• International Society for Music Information Retrieval Conference, 2024
• International Society for Music Information Retrieval Conference, 2023
• IEEE International Conference on Acoustics, Speech and Signal Processing, 2024
• EURASIP Journal on Audio, Speech, and Music Processing

Teaching

Demonstration & Supervision

• Demonstrator: ECS607U - Data Mining 2022-2023 Sememster A
• Domonstrator: ECS766P - Data Mining 2022-2023 Sememster A
• Supervisor: EECS MSc Project 2022-23, for 10 students

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