Shlomo Dubnov

Musician

Shlomo Dubnov

Shlomo Dubnov is an American-Israeli computer music researcher and composer. He is a professor in the Music Department and Affiliate Professor in Computer Science and Engineering and a founding faculty of the Halıcıoğlu Data Science Institute in the University of California, San Diego, where he has been since 2003.^[1] He is the Director of the Center for Research in Entertainment and Learning (CREL) at UC San Diego's Qualcomm Institute.

Biography

Born in Ukraine in 1962, Shlomo Dubnov is a researcher and composer. Dubnov's education bridges electrical engineering (at the Technion), computer science (at the Hebrew University), and music (at the Academy of Music and Dance in Jerusalem). Dubnov was familiar with electroacoustic music when he learned about computer music as a field of research during a workshop by Jonathan Berger around 1990. In 1994, he founded the "Israel Computers and Music Forum".^[2]

Dubnov graduated from Jerusalem Academy of Music and Dance in composition and did his PhD in computer science in Hebrew University of Jerusalem. He is a graduate of the Israel Defence Forces (IDF) Talpiot program. Prior to joining UCSD, he served as a researcher at IRCAM, Paris, and headed the multimedia track for the Department of Communication Systems Engineering at Ben-Gurion University of the Negev. He received fellowships from Natural Science's Distinguished Scientist (Dozor Program), Ben-Gurion University of the Negev, 2019, the IdEX Excellence in Research, LaBRI, University of Bordeaux, France, 2016, Heiwa-Nakajima-Zaidan, Keio University, Japan 2014, Chateaubriand, IRCAM, 2014, and Eshkol Fellowship, Ministry of Science, Israel, 1993.

Research

He is best known for his research on musical timbre, Machine improvisation,^[3]^[4] Computational creativity and Stylometry of music.^[5] He is also known for his contributions to the field of Computer Audition by inventing the method of information dynamics^[6] and use of Bispectrum and non-linear extensions of Spectral flatness.^[7]^[8]^[9]^[10] His new algorithm, called "Ouch AI", combines Music Latent Diffusion Model (MusicLDM) with Large Language Models to create music out of poetry.^[11]

Selected publications

Dubnov, S., Tishby, N., Cohen, D., (1996), "Polyspectra as measures of sound texture and timbre", Journal of New Music Research 26 (4), 277–314, Best Paper award, Computer Music Association, 1996
P Herrera-Boyer, G Peeters, S Dubnov (2003), "Automatic classification of musical instrument sounds", Journal of New Music Research 32 (1), 3-21
Cont, A., and Dubnov, S.,"GUIDAGE: A Fast Audio Query Guided Assemblage", ICMC Best Presentation Award, 2007 "Computer Audition Lab".
Argamon, S., Burns, K., Dubnov, S. (2010). The structure of style: Algorithmic approaches to understanding manner and meaning. Springer.{{cite book}}: CS1 maint: multiple names: authors list (link)
Dubnov, S., Bruns, K., Kiyoki, Y. (2016). Cross-Cultural Multimedia Computing: Semantic and Aesthetic Modeling. Springer Briefs in Computer Science.{{cite book}}: CS1 maint: multiple names: authors list (link)
Dubnov, S., Greer, R. (2023). Deep and Shallow: Machine Learning for Music and Audio. Routledge.{{cite book}}: CS1 maint: multiple names: authors list (link)

References

^ "Shlomo Dubnov". UCSD Music.
^ Gluck, R.J., (2005), "Fifty years of electronic music in Israel", Organised Sound 10(2): 163–180
^ Using factor oracles for machine improvisation, G Assayag, S Dubnov, Soft Computing 8 (9), 604-610
^ "Computers in a Jazz Ensemble? Inventing Improvisational AI". UC San Diego Today. January 13, 2022.
^ "Computer training to transfer music from one style to another". Illinois News Today. 24 July 2021.
^ Musical information dynamics as models of auditory anticipation, S Dubnov Machine audition: Principles, algorithms and systems, 371-397
^ Generalization of spectral flatness measure for non-gaussian linear processes, S Dubnov IEEE Signal Processing Letters 11 (8), 698-701
^ "CSE's Shlomo Dubnov Helps Develop Machine Learning to Enhance Non-verbal Communication in Online Classrooms". UCSD CSE.
^ "Scientists hustle to create new tests, drugs and expand telemedicine to battle COVID-19 over the long term". San Diego Union-Tribune. 14 March 2021.
^ "Music and Computer Science Professor Shlomo Dubnov Studies The Sounds of COVID | Computer Science". UCSD.
^ "New, Generative AI Transforms Poetry into Music". UCSD.