AE-P5: Applications to Music II

Session Type: Poster
Time: Friday, May 21, 09:30 - 11:30
Location: Poster Area 1
Chair: Jacob Benesty, Universite du Quebec, INRS-EMT
 
AE-P5.1: MUSIC INSTRUMENT RECOGNITION : FROM ISOLATED NOTES TO SOLO PHRASES
         Krishna A. G.; Indian Institute of Science
         Thippur V. Sreenivas; Indian Institute of Science
 
AE-P5.2: AUTOMATIC TRANSCRIPTION OF DRUM LOOPS
         Olivier Gillet; GET / ENST
         Gaël Richard; GET / ENST
 
AE-P5.3: COMPARING FEATURES FOR FORMING MUSIC STREAMS IN AUTOMATIC MUSIC TRANSCRIPTION
         Yohei Sakuraba; Kyoto University
         Tetsuro Kitahara; Kyoto University
         Hiroshi G. Okuno; Kyoto University
 
AE-P5.4: MUSICAL NOTE SEGMENTATION EMPLOYING COMBINED TIME AND FREQUENCY ANALYSES
         Gordana Velikic; University of Rochester
         Edward Titlebaum; University of Rochester
         Mark Bocko; University of Rochester
 
AE-P5.5: BAYESIAN TWO SOURCE MODELING FOR SEPARATION OF N SOURCES FROM STEREO SIGNALS
         Aaron Master; Stanford University
 
AE-P5.6: ENERGY-CONSERVING FINITE DIFFERENCE SCHEMES FOR TENSION-MODULATED STRINGS
         Stefan Bilbao; Queen's University Belfast
 
AE-P5.7: PHONOGRAPHIC SOUND EXTRACTION USING IMAGE AND SIGNAL PROCESSING
         Sylvain Stotzer; University of Applied Sciences of Fribourg
         Ottar Johnsen; University of Applied Sciences of Fribourg
         Frédéric Bapst; University of Applied Sciences of Fribourg
         Christoph Sudan; University of Applied Sciences of Fribourg
         Rolf Ingold; University of Fribourg
 
AE-P5.8: TIMBRAL ANALOGIES BETWEEN VOWELS AND PLUCKED STRING TONES
         Caroline Traube; McGill University
         Philippe Depalle; McGill University
 
AE-P5.9: SEPARATION OF HARMONIC STRUCTURES BASED ON TIED GAUSSIAN MIXTURE MODEL AND INFORMATION CRITERION FOR CONCURRENT SOUNDS
         Hirokazu Kameoka; University of Tokyo
         Takuya Nishimoto; University of Tokyo
         Shigeki Sagayama; University of Tokyo
 
AE-P5.10: APPLICATION OF THE MINIMUM FUEL NEURAL NETWORK TO MUSIC SIGNALS
         Anders la Cour-Harbo; Aalborg University
 
AE-P5.11: BAYESIAN ESTIMATION OF SIMULTANEOUS MUSICAL NOTES BASED ON FREQUENCY DOMAIN MODELLING
         Kunio Kashino; NTT Communication Science Laboratories
         Simon Godsill; University of Cambridge
 
AE-P5.12: A DYNAMIC PROGRAMMING APPROACH TO AUDIO SEGMENTATION AND SPEECH/MUSIC DISCRIMINATION
         Michael Goodwin; Creative ATC
         Jean Laroche; Creative ATC
 

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