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How blue is Mozart? Non verbal sensory scales for describing music qualities.

, , , , , and . ICMC, Michigan Publishing, (2014)

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Sonological Analysis of Clarinet Expressivity., , , and . Joint International Conference on Cognitive and Systematic Musicology, volume 1317 of Lecture Notes in Computer Science, page 431-440. Springer, (1996)Perceptual Analysis of the Musical Expressive Intention in a Clarinet Performance., , and . Joint International Conference on Cognitive and Systematic Musicology, volume 1317 of Lecture Notes in Computer Science, page 441-450. Springer, (1996)Score-Independent Audio Features for Description of Music Expression., and . IEEE Trans. Speech Audio Process., 16 (2): 458-466 (2008)Time-varying estimation of parameters in rule systems for music performance., , and . ICMC, Michigan Publishing, (2002)Analysis by synthesis of the expressive intentions in musical performance., , , and . ICMC, Michigan Publishing, (1997)Timbre Characterization with Mel-Cepstrum and Neural Nets., , and . ICMC, Michigan Publishing, (1994)The Role of Individual Difference in Judging Expressiveness of Computer-Assisted Music Performances by Experts., , , and . ACM Trans. Appl. Percept., 11 (4): 22:1-22:20 (2014)Modeling and control of expressiveness in music performance., , , , and . Proc. IEEE, 92 (4): 686-701 (2004)An Objective and Subjective Comparison of Audio Restoration Systems., , , and . ICHIM (2), page 273-281. Archives & Museum Informatics, Pittsburgh, PA, USA, (2001)Clustering Affective Qualities of Classical Music: Beyond the Valence-Arousal Plane., , and . IEEE Trans. Affect. Comput., 5 (4): 364-376 (2014)