Publications
 
 
 
Publications
2007
  1. •C. H. Chuan and E. Chew, "A Dynamic Programming Approach to the Extraction of Phrase Boundaries from Tempo Variations in Expressive Performances," the 8th International Conference on Music Information Retrieval (ISMIR), Vienna, Austria, Sep 23-27, 2007. [pdf]
  2. •C. H. Chuan and E. Chew, "A Hybrid System for Automatic Generation of Style-Specific Accompaniment," 4th International Joint Workshop on Computational Creativity, (JIWCC'07), 17-19 June, 2007, London. [pdf] [sound samples]
  3. •C. H. Chuan and E. Chew, "A Dynamic Programming Approach o the Extraction of Phrase Boundaries from Tempo Variations in Expressive Performances," (preliminary report), invited presentation for the Special Session on Mathematical Methods in Music Analysis as part of the 113rd Annual Meeting of the American Mathematical Society (AMS) at the Joint Mathematics Meeting, New Orleans, LA, January 6 2007. [html]
2006
  1. •C. H. Chuan and E. Chew, "The Effect of Key and Tempo on Audio Onset Detection Using Machine Learning Techniques: A Sensitivity Analysis,"the 2nd IEEE International Workshop on Multimedia Information Processing and Retrieval,San Diego, California, USA, December 11-13, 2006. [pdf]
  2. •C. H. Chuan and E. Chew, "Audio Key Finding: Considerations in System Design, and Case Studies on 24 Chopin's Preludes," Ichiro Fujinaga, Masataka Goto, George Tzanetakis (eds.), EURASIP Journal on Applied Signal Processing, Special Issue on Music Information Retrieval. [pdf]
2008
  1. •C. H. Chuan and E. Chew, “Evaluating and Visualizing Effectiveness of Style Emulation in Musical Accompaniment,” the 9th International Conference on Music Information Retrieval (ISMIR), Philadelphia, PA, September 14- 18, 2008. [pdf] [sound samples]
  2. •C. H. Chuan and E. Chew, “Learning Harmonic Syntax to Generate Style-Specific Pop/Rock Accompaniment,” (abstract), Music, Language, and the Mind Conference, Tufts University, Medford, MA, July 10 - 13, 2008. [pdf]
  3. •C. H. Chuan and E. Chew, "Audio Onset Detection Using Machine Learning Techniques: The Effect and Applicability of Key and Tempo Information," Technical Report #08-895, Computer Science, University of Southern California. [pdf]