Music and Culture Technology Lab

We develop innovative music technologies.

音樂與文化科技實驗室（Music and Culture Technology Lab）成立於2017年。

我們致力於研發最前沿的數位訊號處理與深度學習技術，應用在各種音樂人工智慧的熱門議題，包括自動採譜、機器鑑賞、即時音樂互動、音樂生成、計算音樂學等，應用場域橫跨音樂聆賞、分析、製作、展演、教育、照護等面向，期能展開科技與人文的深度對話，促使音樂文化融入日常生活。

The Music and Culture Technology Lab was founded in 2017.

We devote ourselves to the development of cutting-edge signal processing and deep learning techniques for music and AI applications, such as automatic music transcription, machine connoisseurship, real-time music interactive systems, generative music, and computational musicology. Applications are found across various music activities including listening, analysis, production, performance, education, and well-being. Our goal is to launch a deep and fruitful dialogue between technology and humanity, and make music culture part of our everyday life.

What's New

Honorable Mention in CMMR 2023 !

Christofer Julio, Feng-Hsu Lee and Li Su, "Interpretable Rule Learning and Evaluation of Early Twentieth-century Music Styles," 16th International Symposium on Computer Music Multidisciplinary Research (CMMR), November 2023.

Best Paper Nomination in ISMIR 2023 !

Yo-Wei Hsiao, Tzu-Yun Hung, Tsung-Ping Chen, Li Su, "BPS-Motif: A Dataset for Repeated Pattern Discovery of Polyphonic Symbolic Music," International Society of Music Information Retrieval Conference (ISMIR), November 2023.

中央研究院資訊科學研究所蘇黎博士榮獲傑出人才發展基金會第九屆「年輕學者創新獎」🎉

Dr. Li Su receives the Young Scholars' Creativity Award 2021, Foundation for the Advancement of Outstanding Scholarship. For more information, please visit 👉 here

Three papers accepted by the ISMIR 2021 !

Yo-Wei Hsiao, Li Su, "Learning note-to-note affinity for voice segregation and melody line identification of symbolic music data," International Society for Music Information Retrieval Conference (ISMIR), November 2021.
Rui-Yang Hsu, Li Su, "VOCANO: A note transcription framework for singing voice in polyphonic music," International Society of Music Information Retrieval Conference (ISMIR), November 2021.
Vincent Cheung, Hsuan-Kai Kao, Li Su, "Semi-supervised violin fingering generation using variational autoencoders," International Society for Music Information Retrieval Conference (ISMIR), November 2021.

Two papers accepted by the ACM Multimedia 2021 !

Kin Wai Cheuk, Dorien Herremans, Li Su, "ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data," ACM Multimedia Conference (ACM MM), October 2021.
Wei-Tsung Lu, Meng-Hsuan Wu, Yuh-Ming Chiu, Li Su, "Actions speak louder than listening: evaluating music style transfer based on editing experience," ACM Multimedia Conference (ACM MM), October 2021.

Best Paper Nomination in ACM Multimedia 2020 !

Yuen-Jen Lin, Hsuan-Kai Kao, Yih-Chih Tseng, Ming Tsai, and Li Su, "A Human-Computer Duet System for Music Performance," ACM International Conference on Multimedia (ACM MM), October 2020.

Best Paper Award from ISMIR 2019 !

Tsung-Ping Chen and Li Su, "Harmony transformer: incorporating chord segmentation into harmony recognition," International Society of Music Information Retrieval Conference (ISMIR), November 2019.