SP-L6: Feature Analysis for Speech Recognition

Session Type: Lecture
Time: Thursday, May 20, 13:00 - 15:00
Location: Grand Salon
Chair: Nelson Morgan, University of California, Berkeley
 
SP-L6.1: NON-UNIFORM SPEAKER NORMALIZATION USING AFFINE-TRANSFORMATION
         Bharath Kumar SV; General Electric - Global Research
         Umesh S.; Indian Institute of Technology
         Rohit Sinha; Indian Institute of Technology
 
SP-L6.2: PRODUCT OF POWER SPECTRUM AND GROUP DELAY FUNCTION FOR SPEECH RECOGNITION
         Donglai Zhu; Griffith University
         Kuldip. K Paliwal; Griffith University
 
SP-L6.3: THE ETSI EXTENDED DISTRIBUTED SPEECH RECOGNITION (DSR) STANDARDS: CLIENT SIDE PROCESSING AND TONAL LANGUAGE RECOGNITION EVALUATION
         Alexander Sorin; IBM Labs
         Tenkasi Ramabadran; Motorola Labs
         Dan Chazan; IBM Labs
         Ron Hoory; IBM Labs
         Michael McLaughlin; Motorola Labs
         David Pearce; Motorola Labs
         Fan Wang; IBM Labs
         Yaxin Zhang; Motorola Labs
 
SP-L6.4: ROBUST SPEECH FEATURE EXTRACTION BY GROWTH TRANSFORMATION IN REPRODUCING KERNEL HILBERT SPACE
         Shantanu Chakrabartty; Johns Hopkins University
         Yunbin Deng; Johns Hopkins University
         Gert Cauwenberghs; Johns Hopkins University
 
SP-L6.5: DIMENSIONALITY REDUCTION USING MCE-OPTIMIZED LDA TRANSFORMATION
         Xiao-Bing Li; University of Science and Technology of China
         Jin-Yu Li; University of Science and Technology of China
         Ren-Hua Wang; University of Science and Technology of China
 
SP-L6.6: SPEECH FEATURE EXTRACTION METHOD REPRESENTING PERIODICITY AND APERIODICITY IN SUB BANDS FOR ROBUST SPEECH RECOGNITION
         Kenataro Ishizuka; NTT Corporation
         Noboru Miyazaki; NTT Corporation
 

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