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Born in Rio de Janeiro, Brazil, in 1962. Electronics Engineer (1985), MSc (1990) and DSc (2000) in Electrical Engineering degrees from the Federal University of Rio de Janeiro (UFRJ). Worked in the telecommunication industry between 1985 and 1993. Currently Associate Professor at the Dept. of Electronics and Computer Engineering and the Electrical Engineering Postgrad. Program at UFRJ. Main research area: digital audio processing. Member of the IEEE, the AES, the SBrT, and the SBC.
The development of computer hardware technology and the proliferation of online music collections have sustained the development of Artificial Intelligence techniques for music research in several directions, fostering new interdisciplinary research opportunities. This interdisciplinary research project aims to develop innovative technological and music-analytical methods to gain fresh insight into the understanding and modeling of the rhythmic/metrical structure in audio recordings of expressive music performances. For this, we will explore the use of some new frameworks developed in the statistical relational learning area that have recently opened perspectives to model the complex relational structure of musical data. While the approaches we propose are common to any style of music, we exemplify our methods via an analysis of new datasets of Latin American music, bringing new musicological insight into some musical genres that have not yet been explored by the Music Information Retrieval research community. We will also provide the music research community with new annotated data and software resources.