Technical Program

Paper Detail

Paper:AE-P5.9
Session:Applications to Music II
Time:Friday, May 21, 09:30 - 11:30
Presentation: Poster
Topic: Audio and Electroacoustics: Applications to Music
Title: SEPARATION OF HARMONIC STRUCTURES BASED ON TIED GAUSSIAN MIXTURE MODEL AND INFORMATION CRITERION FOR CONCURRENT SOUNDS
Authors: Hirokazu Kameoka; University of Tokyo 
 Takuya Nishimoto; University of Tokyo 
 Shigeki Sagayama; University of Tokyo 
Abstract: In this paper, a method for separation of harmonic structures of co-channel input concurrent sounds is described. A model of multiple harmonic structures is constructed with a mixture of tied Gaussian mixtures with which a single harmonic structure is modeled. Our algorithm enables to estimate both number and each shape of underlying harmonic structure based on a maximum likelihood estimation of the model parameters using EM algorithm and an information criterion. It operates without restriction of a number of mixed sounds and a variety of sound sources, and extracts accurate fundamental frequencies as continuous values with simple procedures in spectral domain. Experiments showed high performance of this algorithm for both simultaneous speeches and polyphonic musics.
 
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