09/09/2013
Este minicurso se dictará el día 12/9 a las 11:40 hs
Practical Application of Autocorrelation Function (ACF) Analysis
Lecturer: Dr. Shin-ichi SATO
Aim: Autocorrelation function (ACF), which had been used in the mathematical study, is the signal analysis to measure the similarity between a signal and a delay version of itself, looking for self-similarity in time. Since Licklider proposed the idea of “autocorrelator” in human auditory system in 1951, the ACF analysis has been used for the speech analyses to extract the fundamental frequency of the spoken words, and then used for the studies of pitch perception model. The systematic investigation regarding the preferred sound field in concert halls by Ando is an unique application of the ACF analysis to music signals to find the relationship between the subjective and objective evaluations of the sound fields. Recently, the ACF analyses are utilized to characterize the music, speech and noise signals, and the relationship with their subjective evaluations has been investigated. Not only the continuous signals like music, speech, mechanical and the environmental noises, but also the impulsive and the low-frequency sound have been analyzed by the ACF. In this course, the above historical review of the ACF studies is given first, and the useful results of the analysis are introduced with the sound demonstrations.
Syllabus: Signal processing of music, speech and noise signals
Professional Information:
Postdoctoral researcher, Kobe University (1999-2002)
Postdoctoral Fellow, University of Ferrara (2002-2004)
Full-time researcher and contract Professor, Hanyang University (2004-2008)
Visiting scholar, South China University (2009-2011)
Visiting Professor, Universidad Nacional de Tres de Febrero (2012 to present)
Author and coauthor of 25 papers published in SCI journals and 6 papers in other journals, 6 books, 48 proceedings of international conference, and 26 proceedings of domestic conference
Fields of interest: Room acoustics, Psychoacoustics, Noise studies, Signal processing, Sound quality studies