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. 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".Gluck, R.J., (2005), "Fifty years of electronic music in Israel", Organised Sound 10(2): 163–180
Dubnov graduated from Jerusalem Academy of Music and Dance in composition and holds a PhD from 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,Using factor oracles for machine improvisation, G Assayag, S Dubnov, Soft Computing 8 (9), 604-610 Computational creativity and Stylometry of music. He is also known for his contributions to the field of Computer Audition by inventing the method of information dynamicsMusical information dynamics as models of auditory anticipation, S Dubnov Machine audition: Principles, algorithms and systems, 371-397 and use of Bispectrum and non-linear extensions of Spectral flatness.Generalization of spectral flatness measure for non-gaussian linear processes, S Dubnov IEEE Signal Processing Letters 11 (8), 698-701 His new algorithm, called "Ouch AI", combines Music Latent Diffusion Model (MusicLDM) with Large Language Models to create music out of poetry.
Google Scholar Profile
Selected publications Papers 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., (2007) "GUIDAGE: A Fast Audio Query Guided Assemblage", ICMC Best Presentation Award, 2007 Dubnov, S. & Chen, K. & Huang, K., (2022), "Deep Music Information Dynamics", Journal of Creative Music Systems 1(1), 2022 Wu, Y., Chen, K., Zhang, T., Hui, Y., Berg-Kirkpatrick, T., Dubnov, S., (2023), "Large-scale contrastive language-audio pretraining (CLAP) with feature fusion and keyword-to-caption augmentation", ICASSP 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Dubnov, S., Gokul, V., Assayag, G., (2023), "Switching Machine Improvisation Models by Latent Transfer Entropy Criteria", Physical Sciences Forum, vol. 5, no. 1, pp. 49, 2023. Chen, K., Wu, Y., Liu, H., Nezhurina, M., Berg-Kirkpatrick, T., Dubnov, S., (2024), "MusicLDM: Enhancing novelty in text-to-music generation using beat-synchronous mixup strategies", ICASSP 2024 IEEE International Conference on Acoustics, Speech and Signal Processing
Books
References
External links