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My ICASSP 2009 Schedule

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SPE-L1: Discriminative Training for ASR

Session Type: Lecture
Time: Tuesday, April 21, 11:00 - 13:00
Location: Plenary Hall, TICC
Session Chair: Erik McDermott, NTT Corporation
 
  SPE-L1.1: MODIFIED MPE/MMI IN A TRANSDUCER-BASED FRAMEWORK
         Georg Heigold; RWTH Aachen University
         Ralf Schlueter; RWTH Aachen University
         Hermann Ney; RWTH Aachen University
 
  SPE-L1.2: LARGE MARGIN SEMI-TIED COVARIANCE TRANSFORMS FOR DISCRIMINATIVE TRAINING
         George Saon; IBM T. J. Watson Research Center
         Daniel Povey; IBM T. J. Watson Research Center
         Hagen Soltau; IBM T. J. Watson Research Center
 
  SPE-L1.3: A TRUST REGION BASED OPTIMIZATION FOR MAXIMUM MUTUAL INFORMATION ESTIMATION OF HMMS IN SPEECH RECOGNITION
         Zhi-Jie Yan; iFlytek Speech Lab, University of Science and Technology of China
         Cong Liu; iFlytek Speech Lab, University of Science and Technology of China
         Yu Hu; iFlytek Speech Lab, University of Science and Technology of China
         Hui Jiang; York University
 
  SPE-L1.4: LATTICE-BASED OPTIMIZATION OF SEQUENCE CLASSIFICATION CRITERIA FOR NEURAL-NETWORK ACOUSTIC MODELING
         Brian Kingsbury; IBM
 
  SPE-L1.5: BAYESIAN LARGE MARGIN HIDDEN MARKOV MODELS FOR SPEECH RECOGNITION
         Jung-Chun Chen; National Cheng Kung University
         Jen-Tzung Chien; National Cheng Kung University
 
  SPE-L1.6: GENERALIZED BAUM-WELCH ALGORITHM FOR DISCRIMINATIVE TRAINING ON LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION SYSTEM
         Roger Hsiao; InterACT, Language Technologies Institute, Carnegie Mellon University
         Yik-Cheung Tam; InterACT, Language Technologies Institute, Carnegie Mellon University
         Tanja Schultz; InterACT, Language Technologies Institute, Carnegie Mellon University
 

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