Technical Program

SP-P16: Speech Adaptation

Session Type: Poster
Time: Friday, May 31, 08:00 - 10:00
Location: Poster Area D
Session Chair: DeLiang Wang, The Ohio State University
 
SP-P16.1: UNSUPERVISED DISCRIMINATIVE ADAPTATION USING DIFFERENCED MAXIMUM MUTUAL INFORMATION BASED LINEAR REGRESSION
         Marc Delcroix; Nippon Telegraph and Telephone Corporation
         Atsunori Ogawa; Nippon Telegraph and Telephone Corporation
         Seong-Jun Hahm; Nippon Telegraph and Telephone Corporation
         Tomohiro Nakatani; Nippon Telegraph and Telephone Corporation
         Atsushi Nakamura; Nippon Telegraph and Telephone Corporation
 
SP-P16.2: KL-DIVERGENCE REGULARIZED DEEP NEURAL NETWORK ADAPTATION FOR IMPROVED LARGE VOCABULARY SPEECH RECOGNITION
         Dong Yu; Microsoft Research
         Kaisheng Yao; Microsoft Corporation
         Hang Su; Microsoft Research Asia
         Gang Li; Microsoft Research Asia
         Frank Seide; Microsoft Research Asia
 
SP-P16.3: FEATURE SPACE VARIATIONAL BAYESIAN LINEAR REGRESSION AND ITS COMBINATION WITH MODEL SPACE VBLR
         Seong-Jun Hahm; Nippon Telegraph and Telephone Corporation
         Atsunori Ogawa; Nippon Telegraph and Telephone Corporation
         Marc Delcroix; Nippon Telegraph and Telephone Corporation
         Masakiyo Fujimoto; Nippon Telegraph and Telephone Corporation
         Takaaki Hori; Nippon Telegraph and Telephone Corporation
         Atsushi Nakamura; Nippon Telegraph and Telephone Corporation
 
SP-P16.4: RAPID ADAPTATION FOR MOBILE SPEECH APPLICATIONS
         Michiel Bacchiani; Google Inc.
 
SP-P16.5: TEMPORAL FILTER DESIGN BY MINIMUM KL DIVERGENCE CRITERION FOR ROBUST SPEECH RECOGNITION
         Xiong Xiao; Nanyang Technological University
         Eng-Siong Chng; Nanyang Technological University
         Haizhou Li; Institute for Infocomm Research
 
SP-P16.6: SPEAKER ADAPTIVE KULLBACK-LEIBLER DIVERGENCE BASED HIDDEN MARKOV MODELS
         David Imseng; Idiap Research Institute
         HervĂ© Bourlard; Idiap Research Institute
 
SP-P16.7: UNSUPERVISED ADAPTATION WITHOUT ESTIMATED TRANSRIPTIONS
         Hyeopwoo Lee; Speech Information Processing Laboratory, Korea University
         Dongsuk Yook; Speech Information Processing Laboratory, Korea University
 
SP-P16.8: NON-LINEAR FREQUENCY WARPING FOR VTLN USING SUBGLOTTAL RESONANCES AND THE THIRD FORMANT FREQUENCY
         Harish Arsikere; University of California, Los Angeles
         Steven M. Lulich; Indiana University, Bloomington
         Abeer Alwan; University of California, Los Angeles
 
SP-P16.9: LEARNING DISCRIMINATIVE BASIS COEFFICIENTS FOR EIGENSPACE MLLR UNSUPERVISED ADAPTATION
         Yajie Miao; Carnegie Mellon University
         Florian Metze; Carnegie Mellon University
         Alex Waibel; Carnegie Mellon University
 
SP-P16.10: TANDEM SYSTEM ADAPTATION USING MULTIPLE LINEAR FEATURE TRANSFORMS
         Yongqiang Wang; Cambridge University
         Mark J.F. Gales; Cambridge University
 
SP-P16.11: PHONETIC SUBSPACE ADAPTATION FOR AUTOMATIC SPEECH RECOGNITION
         Sina Hamidi Ghalehjegh; McGill University
         Richard Rose; McGill University
 
SP-P16.12: FAST SPEAKER ADAPTATION OF HYBRID NN/HMM MODEL FOR SPEECH RECOGNITION BASED ON DISCRIMINATIVE LEARNING OF SPEAKER CODE
         Ossama Abdel-Hamid; York University
         Hui Jiang; York University
 
SP-P16.13: SPEAKER ADAPTATION OF CONTEXT DEPENDENT DEEP NEURAL NETWORKS
         Liao Hank; Google Inc.