Phase-plane Representation and Visualization of Gestural Structure in Expressive Timing

References

• Boon , J. and Decroly , O. 1995 . Dynamical systems theory for music dynamics . Chaos , 5 ( 3 ) : 501 – 508 .
   PubMedGoogle Scholar
• Canazza , S. , De Poli , G. , Rodá , A. and Vidolin , A. 2003 . An abstract control space for communication of sensory expressive intentions in music performance . Journal of New Music Research , 32 ( 3 ) : 281 – 294 .
   Web of Science ®Google Scholar
• Clarke , E. F. 1988 . “ Generative principles in music ” . In Generative Processes in Music: The Psychology of Performance, Improvisation, and Composition , Edited by: J. , Sloboda . Oxford University Press .
   Google Scholar
• Desain , P. and Honing , H. 1993 . Time in Contemporary Musical Thought . Contemporary Music Review , 7 ( 2 ) : 123 – 138 . Tempo curves considered harmful. J.D. Kramer
   Google Scholar
• Desain , P. and Honing , H. Physical motion as a metaphor for timing in music: The final ritard . Proceedings of the 1996 International Computer Music Conference . pp. 458 – 460 . San Francisco : ICMA .
   Google Scholar
• Dixon , S. , Goebl , W. and Cambouropoulos , E. 2006 . Perceptual smoothness of tempo in expressively performed music . Music Perception , 23 ( 3 ) : 195 – 214 .
   Google Scholar
• Friberg , A. and Sundberg , J. 1999 . Does music performance allude to locomotion? A model of final ritardandi derived from measurements of stopping runners . Journal of the Acoustical Society of America , 105 ( 3 ) : 1469 – 1484 .
   Web of Science ®Google Scholar
• Gabrielsson , A. 2003 . Music performance research at the millennium . The Psychology of Music , 31 ( 3 ) : 221 – 272 .
   Google Scholar
• Goodall , C. 1991 . Procrustes methods in the statistical analysis of shape . Journal of the Royal Statistical Society. Series B (Methodological) , 53 ( 2 ) : 285 – 339 .
   Google Scholar
• Grachten , M. , Goebl , W. , Flossmann , S. and and Widmer , G. Intuitive visualization of gestures in expressive timing: A case study on the final ritard . Proceedings of the International Conference on Music Perception and Cognition .
   Google Scholar
• Honing , H. When a good fit is not good enough: a case study on the final ritard . Proceedings of the 8th ICMPC . Evanston, IL. Edited by: Lipscomb , S. D. , Ashley , R. , Gjerdingen , R. O. and Webster , P. pp. 510 – 513 . Adelaide : Causal Productions .
   Google Scholar
• Honing , H. 2005 . Is there a perception-based alternative to kinematic models of tempo rubato? . Music Perception , 23 ( 1 ) : 79 – 85 .
   Google Scholar
• Juslin P. Sloboda J. 2001 Music and Emotion: Theory and Research Oxford University Press
   Google Scholar
• Langner , J. and Goebl , W. 2003 . Visualizing expressive performance in tempo-loudness space . Computer Music Journal , 27 ( 4 ) : 69 – 83 .
   Web of Science ®Google Scholar
• Métois , E. Musical sound information: Musical gestures and embedding synthesis . (PhD thesis). Massachusetts Institute of Technology .
   Google Scholar
• Palmer , C. 1997 . Music performance . Annual Review of Psychology , 48 : 115 – 138 .
   PubMed Web of Science ®Google Scholar
• Ramsay , J. and Silverman , B. 2005 . Functional Data Analysis , 2nd ed , New York: Springer .
   Google Scholar
• Repp , B. H. 1992 . Diversity and commonality in music performance—an analysis of timing microstructure in Schumann's ‘Träumerei’ . Journal of the Acoustical Society of America , 92 ( 5 ) : 2546 – 2568 .
   PubMed Web of Science ®Google Scholar
• Repp , B. H. 1998 . A microcosm of musical expression: I. Quantitative analysis of pianists' timing in the initial measures of Chopin's etude in E major . Journal of the Acoustical Society of America , 104 ( 2 ) : 1085 – 1100 .
   PubMed Web of Science ®Google Scholar
• Schoner , B. State reconstruction for determining predictability in driven nonlinear acoustical systems . (Master's thesis). Rheinisch-Westphalische Technische Hochschule Aachen .
   Google Scholar
• Sundberg , J. , Friberg , A. and Frydén , L. 1991 . “ Common secrets of musicians and listeners: An analysis-by-synthesis study of musical performance ” . In Representing Musical Structure , Edited by: Howell , P. , West , R. and Cross , I. 161 – 197 . Academic Press Ltd . Cognitive Science series. London
   Google Scholar
• Todd , N. P. 1985 . A model of expressive timing in tonal music . Music Perception , 3 : 33 – 58 .
   Web of Science ®Google Scholar
• Todd , N. P. 1992 . The dynamics of dynamics: A model of musical expression . Journal of the Acoustical Society of America , 91 : 3540 – 3550 .
   Web of Science ®Google Scholar
• Truslit , A. 1938 . Gestaltung und Bewegung in der Musik , Berlin-Lichterfelde: Chr. Friedrich Vieweg .
   Google Scholar
• Widmer , G. 2003 . Discovering simple rules in complex data: A meta-learning algorithm and some surprising musical discoveries . Artificial Intelligence , 146 ( 2 ) : 129 – 148 .
   Web of Science ®Google Scholar
• Widmer , G. , Dixon , S. , Goebl , W. , Pampalk , E. and Tobudic , A. 2003 . In search of the Horowitz factor . AI Magazine , 24 ( 3 ) : 111 – 130 .
   Web of Science ®Google Scholar