Technical Program

SP-P4: Acoustic Modeling for Automatic Speech Recognition

Session Type: Poster
Time: Tuesday, May 28, 15:30 - 17:30
Location: Poster Area D
Session Chair: Malcolm Slaney, Microsoft
 
SP-P4.1: EFFECT OF FILTER BANDWIDTH AND SPECTRAL SAMPLING RATE OF ANALYSIS FILTERBANK ON AUTOMATIC PHONEME RECOGNITION
         Feipeng Li; Johns Hopkins University
         Hynek Hermansky; Johns Hopkins University
 
SP-P4.2: PROBABILISTIC ASR FEATURE EXTRACTION APPLYING CONTEXT-SENSITIVE CONNECTIONIST TEMPORAL CLASSIFICATION NETWORKS
         Martin Woellmer; BMW Group
         Björn Schuller; Technische Universität München
         Gerhard Rigoll; Technische Universität München
 
SP-P4.3: OPTIMIZED MFCC FEATURE EXTRACTION ON GPU
         Haofeng Kou; Santa Clara University
         Weijia Shang; Santa Clara University
         Ian Lane; Carnegie Mellon University
         Jike Chong; Carnegie Mellon University
 
SP-P4.4: MULTI-VIEW CCA-BASED ACOUSTIC FEATURES FOR PHONETIC RECOGNITION ACROSS SPEAKERS AND DOMAINS
         Raman Arora; Toyota Technological Institute at Chicago
         Karen Livescu; Toyota Technological Institute at Chicago
 
SP-P4.5: PERFORMANCES OF UNSUPERVISED HMM IN ACOUSTIC-TO-ARTICULATORY INVERSION
         Helene Lachambre; IRIT - University of Toulouse
         Lionel Koenig; IRIT - University of Toulouse
         Régine André-Obrecht; IRIT - University of Toulouse
 
SP-P4.6: ARTICULATORY TRAJECTORIES FOR LARGE-VOCABULARY SPEECH RECOGNITION
         Vikramjit Mitra; SRI International
         Wen Wang; SRI International
         Andreas Stolcke; Microsoft Research
         Hosung Nam; Haskins Laboratories
         Colleen Richey; SRI International
         Jiahong Yuan; University of Pennsylvania
         Mark Liberman; University of Pennsylvania
 
SP-P4.7: DISTINCT TRIPHONE MODELING BY REFERENCE MODEL WEIGHTING
         Dongpeng Chen; The Hong Kong University of Science and Technology
         Brian Mak; The Hong Kong University of Science and Technology
 
SP-P4.8: A NEW PHASE-BASED FEATURE REPRESENTATION FOR ROBUST SPEECH RECOGNITION
         Erfan Loweimi; Amirkabir University of Technology (Tehran Polytechnic)
         Seyed Mohammad Ahadi; Amirkabir University of Technology (Tehran Polytechnic)
         Thomas Drugman; Université de Mons
 
SP-P4.9: CHANNEL-MAPPING FOR SPEECH CORPUS RECYCLING
         Osamu Ichikawa; IBM
         Steven Rennie; IBM
         Takashi Fukuda; IBM
         Masafumi Nishimura; IBM
 
SP-P4.10: AN EVALUATION OF POSTERIOR MODELING TECHNIQUES FOR PHONETIC RECOGNITION
         Rohit Prabhavalkar; The Ohio State University
         Tara N. Sainath; IBM T.J. Watson Research Center
         David Nahamoo; IBM T.J. Watson Research Center
         Bhuvana Ramabhadran; IBM T.J. Watson Research Center
         Dimitri Kanevsky; IBM T.J. Watson Research Center
 
SP-P4.11: ACCENT ADAPTATION USING SUBSPACE GAUSSIAN MIXTURE MODELS
         Petr Motlicek; Idiap Research Institute
         Philip N. Garner; Idiap Research Institute
         Namhoon Kim; Samsung Electronics Co. Ltd
         Jeongmi Cho; Samsung Electronics Co. Ltd
 
SP-P4.12: SEMI-SUPERVISED ACCENT DETECTION AND MODELING
         Shilei Zhang; IBM Research
         Yong Qin; IBM Research
 
SP-P4.13: TONE RECOGNITION FOR CONTINUOUS ACCENTED MANDARIN CHINESE
         Jiang Wu; SUNY-Binghamton
         Stephen A. Zahorian; SUNY-Binghamton
         Hongbing Hu; SUNY-Binghamton
 
SP-P4.14: SUBMODULAR FEATURE SELECTION FOR HIGH-DIMENSIONAL ACOUSTIC SCORE SPACES
         Yuzong Liu; University of Washington
         Kai Wei; University of Washington
         Katrin Kirchhoff; University of Washington
         Yisong Song; University of Washington
         Jeff Bilmes; University of Washington