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My Visit at Stanford Arbee L.P. Chen 1/6/03 2/8/03
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The Environment My Host : Eleanor Selfridge-Field at CCARH CCARH and CCRMA –Center for Computer Assisted Research in the Humanities (Director: Walter B. Hewlett) –Center for Computer Research in Music and Acoustics (Director: Chris Chafe) My Office: The Trailer
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Activities Gave a talk at Music 253/CS 275A on “Music Information – A Database Perspective” Gave a talk at the CCRMA Colloquium on “The Effectiveness Study of Music Retrieval Approaches” Attended Music 253/CS 275A classes Attended Johan Sundberg’s talks Attended the Database Lunches with a discussion on “Optimization of Continuous Queries in a Data Stream Management System” Advised Unjung Nam on audio retrieval Discussed with researchers at CCARH, including David Huron, Eleanor Selfridge-Field and Walter Hewlett
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Lessons Learned Music notations: MIDI/MuseData/ SCORE/Finale/ Kern/MusicXML –Music modeling at CCARH and the MAKE Lab Various tools (links from http://www.ccarh.org)http://www.ccarh.org –Cakewalk: MIDI sequencer with a conversion to staff –Humdrum/Kern (Beyond MIDI) #MS1# –Themefinder ( CIM 11) –Music Animation Machine (http://www.well.com/user/smalin/)http://www.well.com/user/smalin/ –Finale/SharpEye: from scanner output to MusicXML to MIDI (http://www.recordare.com) #MS1#http://www.recordare.com Music analysis –Sachiko Deguchi: Koto Score - Japanese traditional music structural analysis (http://koto.sapp.org/) #MS1#http://koto.sapp.org/ –Masato Yako: CIM 11 –Jane Singer: CIM 12 –Emilios Cambouropoulos
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Lessons Learned Music analysis –Music often composed as: A A A B A A B A B C A C end number of consecutive repetitions of A reduced from 3 to 2 to 1 Habituation Theory variations of A exist –Prototypical melody (searching for center) –Phrase segmentation (CIM 10) –Johan Sundberg: making sense of music and music emotions (http://www.speech.kth.se/music/) #MS1#http://www.speech.kth.se/music/
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Documents Obtained Three books –Music, Cognition, and Computerized Sound: An Introduction to Psychoacoustics –Composing Music with Computers –The Cognition of Basic Musical Structures Computational Music Analysis System (http://www.link.cs.cmu.edu/cbms/) #MS1#http://www.link.cs.cmu.edu/cbms/ Four Issues of Computing in Musicology Papers –Unjung Nam –Jane Singer –David Cope
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Plan for Future Research Audio Music Retrieval – Calvin Yan and Unjung Nam (Ryan) Music Segmentation (Jesse) Approximate Matching (Irene) Music XML Modeling (WenWen) Polyphonic Music Analysis (Greg) Music Structural Analysis (Lance/Eddie) MIDI and MuseData (Jie)
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