Sofia Cavaco
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Sofia Cavaco |
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Assistant Professor
Departamento de Informática (Computer Science Department)
Universidade Nova de Lisboa (New University of Lisbon)
See portuguese version.
Computational Audition (current projects)
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.
J. Silva, S. Cavaco, G. Lopes, Discrimination of Very Similar Sounds and Rejection of Unknown Sounds, submitted.
S.Cavaco, F.Malheiro J.Mateus, R.Jesus, N.Correia, Automatic Instrument and Environmental Sound Recognition for Media Annotation of TV Content, submitted.
J.Mateus, F. Malheiro, S.Cavaco, N.Correia, R.Jesus, Video Annotation of TV Content using Audiovisual Information, submitted.
S. Cavaco and H. Almeida, Automatic Cymbal Classification using Non-Negative Matrix Factorization, to appear in Proceedings of IWSSIP 2012.
L. Barreira, S. Cavaco, J.Ferreira da Silva, Unsupervised Music Genre Classification with a Model-Based Approach, in Proceedings of the 15th Portuguese Conference on Artificial Intelligence (EPIA 2011), Antunes, L. and Pinto, H. S. (Eds), Lecture Notes in Computer Science, volume 7026, pages 268-281, Springer-Verlag, 2011. (Best Paper Award Nomination.)
F. Malheiro and S. Cavaco, Automatic Musical Instrument and Note Recognition, Proceedings of INForum, Coimbra, Portugal, 2011.
S. Reis, S. Cavaco, N. Correia, Educative Sound Game, in R. Prada, C. Martinho, P. Santos (Eds.), Proceedings of Conferência de Ciências e Artes dos Videojogos (Videojogos) 2010, pages 159-164, 2010.
S. Cavaco and J. Rodeia, Classification of similar impact sounds, in Proceedings of ICISP 2010, A. Elmoataz et al. (Eds.), Lecture Notes in Computer Science, volume 6134, pages 307-314, Springer-Verlag, 2010.
R. Nóbrega and 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.