ICASSP 2010 - 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing - March 14 - 19, 2010 - Dallas, Texas, USA
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SP-P9: Acoustic Modeling II

Session Type: Poster
Time: Thursday, March 18, 10:00 - 12:00
Location: Poster Area D
Session Chair: Enrico Bocchieri, AT&T Research, USA
 
  SP-P9.1: USING DURATION AND PITCH FOR MANDARIN DIGIT STRING RECOGNITION
         Rui Zhao; Toshiba
         Yusuke Kida; Toshiba
         Xiang Yan; Toshiba
         Pei Ding; Toshiba
         Lei He; Toshiba
 
  SP-P9.2: MAXIMUM ENTROPY BASED TONE MODELING FOR MANDARIN SPEECH RECOGNITION
         Xinhao Wang; Peking University
         Yansuo Yu; Peking University
         Xihong Wu; Peking University
         Huisheng Chi; Peking University
 
  SP-P9.3: DIMENSIONALITY REDUCTION METHODS FOR HMM PHONETIC RECOGNITION
         Hongbing Hu; Binghamton University
         Stephen Zahorian; Binghamton University
 
  SP-P9.4: IMPROVING SPEECH RECOGNITION BY EXPLICIT MODELING OF PHONE DELETIONS
         Tom Ko; The Hong Kong University of Science and Technology
         Brian Mak; The Hong Kong University of Science and Technology
 
  SP-P9.5: USING BURST ONSET INFORMATION TO IMPROVE STOP/AFFRICATE PHONE RECOGNITION
         Chi-Yueh Lin; National Tsing Hua University
         Hsiao-Chuan Wang; National Tsing Hua University
 
  SP-P9.6: MULTI-STYLE MLP FEATURES FOR BN TRANSCRIPTION
         Viet Bac Le; LIMSI-CNRS
         Lori Lamel; LIMSI-CNRS
         Jean-Luc Gauvain; LIMSI-CNRS
 
  SP-P9.7: SPEAKER ADAPTATION BASED ON THE MULTILINEAR DECOMPOSITION OF TRAINING SPEAKER MODELS
         Yongwon Jeong; Pusan National University
 
  SP-P9.8: INVESTIGATIONS ON ENSEMBLE BASED UNSUPERVISED ADAPTATION METHODS
         Yu Kubota; Tokyo Institute of Technology
         Takahiro Shinozaki; Tokyo Institute of Technology
         Sadaoki Furui; Tokyo Institute of Technology
 
  SP-P9.9: EFFICIENT ONLINE LEARNING WITH INDIVIDUAL LEARNING-RATES FOR PHONEME SEQUENCE RECOGNITION
         Koby Crammer; Technion - Israel Institute of Technology
 
  SP-P9.10: EXPERIMENTAL STUDIES ON CONTINUOUS SPEECH RECOGNITION USING NEURAL ARCHITECTURES WITH “ADAPTIVE” HIDDEN ACTIVATION FUNCTIONS
         Sabato Marco Siniscalchi; Norwegian University of Science and Technology
         Torbjørn Svendsen; Norwegian University of Science and Technology
         Filippo Sorbello; Unipa
         Chin-Hui Lee; Georgia Institute of Technology
 
  SP-P9.11: ANALYSIS OF PHONE POSTERIOR FEATURE SPACE EXPLOITING CLASS-SPECIFIC SPARSITY AND MLP-BASED SIMILARITY MEASURE
         Afsaneh Asaei; Idiap Research Institute and Ecole Polytechnique Fédérale de Lausanne (EPFL)
         Benjamin Picart; TCTS Lab, Faculté Polytechnique, Université de Mons
         Herve Bourlard; Idiap Research Institute and Ecole Polytechnique Fédérale de Lausanne (EPFL)
 
  SP-P9.12: GMM-HMM ACOUSTIC MODEL TRAINING BY A TWO LEVEL PROCEDURE WITH GAUSSIAN COMPONENTS DETERMINED BY AUTOMATIC MODEL SELECTION
         Dan Su; Peking University
         Xihong Wu; Peking University
         Lei Xu; Chinese University of Hong Kong
 

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