Sofia Cavaco

 
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Sofia

 

Assistant Professor
Departamento de Informática (Computer Science Department)
Universidade Nova de Lisboa (New University of Lisbon)

Teaching

See portuguese version.

Research

Computational Audition

My research focuses on the analysis of sound structure. I aim to identify the intrinsic acoustic dimensions that govern the structure of environmental sounds (i.e., natural sounds that humans are exposed to in their daily life). In addition, I aim to identify which of these dimensions are relevant to the auditory perception of environmental sounds. The identification of such dimensions provides information about the features that must be preserved in audio compression, as well as about the features that must be manipulated in audio synthesis.

Publications

R. Nóbrega, S. Cavaco, Detecting key features in popular music: case study - singing voice detection, in R. Ramirez, D. Conklin, C. Anagnostopoulou (eds), Proceedings of the Workshop on Machine Learning and Music of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, pages 7-12, Bled, Slovenia, September 2009.

S. Cavaco and M. S. Lewicki, Statistical Modeling of Intrinsic Structures in Impact Sounds, Journal of the Acoustical Society of America, vol. 121, n. 6, pages 3558-3568, June 2007. (Supplementary material: EPAPS Document No. E-JASMAN-121-046706.)

R. B. Dannenberg, S. Cavaco, E. Ang, I. Avramovic, B. Aygun, J. Baek, E. Barndollar, D. Duterte, J. Grafton, R. Hunter, C. Jackson, U. Kurokawa, D. Makuck, T. Mierzejewski, M. Rivera, D. Torres, A. Yu, The Carnegie Mellon Laptop Orchestra, Proceedings of the 2007 International Computer Music Conference, Volume II, The International Computer Music Association, pp. II-340-343, San Francisco, August 2007.

S. Cavaco and J. Hallam, A Biologically Plausible Acoustic Motion Detection Neural Network, International Journal of Neural Systems, vol. 9, n. 5, pages 453-459, October 1999.

S. Cavaco and J. Hallam, A Biologically Plausible Acoustic Azimuth Estimation System, in H.G. Okuno (eds), Proceedings of the Workshop on Computational Auditory Scene Analysis (CASA 99) of the International Joint Conference on Artificial Intelligence (IJCAI 99), pages 78-86, Stockholm, Sweden, August 1999.

 


Departamento de Informática
Universidade Nova de Lisboa
2829-516 Caparica, Portugal

E-mail: cav...@fct.unl.pt (click on the e-mail address or here to see the complete e-mail address)
Phone: (+351) 21 294 8300 ext. 10769
Fax: (+351) 21 294 8541