Navarro-Cáceres, M., Caetano, M., Bernardes, G., Sánchez-Barba, M., Sánchez-Jara, J.M. (2020) A Computational Model of Tonal Tension Profile of Chord Progressions in the Tonal Interval Space. “Entropy” Special edition on Artificial Intelligence and Complexity in Art, Music, Games and Design. https://doi.org/10.3390/e22111291.
Caetano, M., Zacharakis, A., Barbancho, I., Tardón, L. J. (2019) Leveraging Diversity in Computer-Aided Musical Orchestration with an Artificial Immune System for Multi-Modal Optimization. “Swarm and Evolutionary Computation” Special edition on Immune Computation and Applications. https://doi.org/10.1016/j.swevo.2018.12.010. (sound examples)
Navarro-Cáceres, M., Caetano, M., Bernardes, G., de Castro, L. N. (2019) ChordAIS: An Assistive System for the Generation of Chord Progressions with an Artificial Immune System. “Swarm and Evolutionary Computation” Special edition on Immune Computation and Applications. https://doi.org/10.1016/j.swevo.2019.05.012.
Caetano, M., Kafentzis, G., Mouchtaris, A., Stylianou, Y. (2016) Full-Band Quasi-Harmonic Analysis and Synthesis of Musical Instrument Sounds with Adaptive Sinusoids. Applied Sciences, 6, 127, 2016. https://doi.org/10.3390/app6050127
Bernardes, G., Cocharro, D., Caetano, M., Guedes, C., Davies, M. (2016) A Multi-Level Tonal Interval Space for Modeling Pitch Relatedness and Musical Dissonance. Journal of New Music Research, 45(3), pp. 1-14, 2016. https://doi.org/10.1080/09298215.2016.1182192.
Beyls, P., Bernardes, G., Caetano, M. earGram Actors: An Interactive Audio Visual System Based on Social Behavior. CITAR Journal of Science and Technology of the Arts, Vol. 7 (1), pp.43-54, 2015. http://dx.doi.org/10.7559/citarj.v7i1.142.
Caetano, M., Rodet, X. (2013) Musical Instrument Sound Morphing Guided by Perceptually Motivated Features. IEEE Transactions on Audio, Speech, and Language Processing, 21 (8), pp. 1666-1675, 2013. https://doi.org/10.1109/TASL.2013.2260154. (sound examples)
Caetano, M., Cella, C. E. (2020) Imitative Computer-Aided Musical Orchestration with Biologically Inspired Algorithms. (To appear in) Miranda, E. (Ed.) Handbook of Artificial Intelligence for Music. Springer Nature.
Caetano, M. (2020) Morphing Musical Instrument Sounds with the Sinusoidal Model in the Sound Morphing Toolbox. (To appear in) Lecture Notes in Computer Science, Springer Verlag, 2020.
Caetano, M., Saitis, C., Siedenburg, K. (2019) Audio Content Descriptors of Timbre. Timbre: Acoustics, Perception, and Cognition. K. Siedenburg, C. Saitis, S. McAdams, A. N. Popper, R. N. Fay (Eds.) Springer Handbook of Auditory Research, ISSN: 0947-2657. Springer-Nature, 2019. https://doi.org/10.1007/978-3-030-14832-4_11 (https://www.springer.com/gp/book/9783030148317)
Navarro, M., Caetano, M., Bernardes, G., de Castro, L.N., Corchado, J.M. Automatic Generation of Chord Progressions with an Artificial Immune System. Evolutionary and Biologically Inspired Music, Sound, Art, and Design, Lecture Notes in Computer Science, Springer-Verlag, vol. 9027, pp. 175-186, 2015.
Caetano, M. Morphing Musical Instrument Sounds with the Sound Morphing Toolbox. Proceedings of the 14th International Symposium on Computer Music Multidisciplinary Research (CMMR). PRISM, Marseille, France, 2019.
Caetano, M. The Sound Morphing Toolbox. Proceedings of the 2nd International Workshop on Timbre. McGill University, Montreal, Canada, 2018.
Caetano, M., Barbancho, I., Tardón, L.J., An Immune-Inspired Compositional Tool for Computer-Aided Musical Composition, Proc. FMA, 2017.
Paqué, S.P., Caetano, M., Santacruz, J.L., Tardón, L.J., Barbancho, I. Source Separation by Score Synthesis in Spanish Folk Music, Proc. FMA, 2017.
Villena, A., Caceres, J., Caetano, M., Barbancho, I., Tardón, L.J. Raspberry Pi + LEGO = Flamenco Demonstrator, Proc. FMA, 2017.
Caetano, M., Kafentzis, G., Mouchtaris, A. Adaptive Modeling of Synthetic Nonstationary Sinusoids. Proc. DAFx, 2015. (pdf)
Beyls, P., Bernardes, G., Caetano, M. The Emergence of Complex Behavior as an Organizational Paradigm for Concatenative Sound Synthesis. Proc xCoAx, 2015. (pdf)
Caetano, M., Wiering, F. Theoretical Framework of a Computational Model of Auditory Memory for Music Emotion Recognition. Proc. ISMIR, 2014. (pdf)
Caetano, M., Wiering, F. The Role of Time in Music Emotion Recognition. Proc. CMMR, 2012. (pdf)
Caetano, M., Osaka, N. A Formal Evaluation Framework for Sound Morphing. Proc ICMC, 2012. (pdf)
Caetano, M., Burred, J.J., Rodet, X. Automatic Segmentation of the Temporal Evolution of Isolated Acoustic Musical Instrument Sounds Using Spectro-Temporal Cues. Proc. DAFx 2010. (sound examples)
Caetano, M., Rodet, X. Independent Manipulation of High-Level Spectral Envelope Shape Features for Sounds Morphing by Means of Evolutionary Computation. Proc. DAFx 2010. (sound examples)
Caetano, M., Rodet, X. Automatic Timbral Morphing of Musical Instrument Sounds by High-Level Descriptors. Proc. ICMC 2010. (sound examples)
Caetano, M., Rodet, X. Evolutionary Spectral Envelope Morphing by Spectral Shape Descriptors. Proc. ICMC 2009. (sound examples)