第22回ロボット聴覚特集 - 奥乃研究室 - 京都大学

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60 150 80%, 20%, , , , Figure 5: Evaluation of RobustnessFigure 6: Recording Environment6 ”EMIEW”,, , , , , , , , , (NEDO ) 5.3 , 10 80 , ,800 1 , 30 180 30 S/N 5db (LPC ) , Fig.6 Fig.7 , [1] , ””EMIEW”--” 23 ,2005 9 [2] N.Nukaga,R.Kamoshida and K.Nagamatsu,”Unit selection using pitch synchronouscross correlation for Japanese concatenativespeech synthesis,” 5th ISCA Speech SynthesisWorkshop,pp.43-48,2004[3] , , , ”,”,1995.[4] M.Aoki, M.Okamoto, S.Aoki, H.Matsui,T.Sakurai, and Y.Kaneda, ”Sound source sepgregationbased on estimating incident angleof each frequency component of input signalsacquired by multiple microphones,” Acoust.Sci& Tech. vol.22,no.2,pp.149-157,2001.℄.Ylmaz, and S.Rickard, ”Blind Separationof Speech Mixtures via Time-Frequency Masking,”IEEE Trans.SP,Vol.52,No.7,2004.Figure 7: Evaluation of Speech Recognition[6] , ”,”,1998.64
社団法人人工知能学会Japanese Society forArtificial Intelligence人工知能学会JSAI Technical ReportSIG-CHallege-0522-11 (10/15)Cognitive Neuroscience: The dynamics of auditory perception ( NTT / ERATO )* Makio KASHINO (NTT Communication Science Laboratories, NTT Corporation / ERATO Shimojo Implicit Brain Function Project, JST)Abstract—Human auditory perception changes dynamicallyaccording to the history of input acoustic signals.We have been studying the dynamics of auditory perceptionby integrating various approaches including psychophysics,brain imaging, neurophysiology, and mathematicalmodeling. Here I describe three types of perceptualphenomena we have examined, and discuss theirneural mechanisms and functional significance. 2.1. kashino@avg.brl.ntt.co.jp 2.2. 65
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第22回 ロボット聴覚特集 - 奥乃研究室 - 京都大学

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第22回ロボット聴覚特集 - 奥乃研究室 - 京都大学