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SPE-L3: Acoustic Modeling I

Session Type: Lecture
Time: Tuesday, April 21, 14:30 - 16:30
Location: Room 101A+B, TICC
Session Chair: Phil Woodland, Cambridge University
 
  SPE-L3.1: SPEECH RHYTHM GUIDED SYLLABLE NUCLEI DETECTION
         Yaodong Zhang; Massachusetts Institute of Technology
         James R. Glass; Massachusetts Institute of Technology
 
  SPE-L3.2: MULTIPLE TIME RESOLUTION ANALYSIS OF SPEECH SIGNAL USING MCE TRAINING WITH APPLICATION TO SPEECH RECOGNITION
         Spiros Dimopoulos; Technical University of Crete
         Alexandros Potamianos; Technical University of Crete
         Eric Fosler-Lussier; The Ohio State University
         Chin-Hui Lee; Georgia Institute of Technology
 
  SPE-L3.3: DATA SAMPLING BASED ENSEMBLE ACOUSTIC MODELLING
         Xin Chen; University of Missouri
         Yunxin Zhao; University of Missouri
 
  SPE-L3.4: POSTERIOR FEATURES APPLIED TO SPEECH RECOGNITION TASKS WITH USER-DEFINED VOCABULARY
         Guillermo Aradilla; Idiap Research Institute
         Hervé Bourlard; Idiap Research Institute
         Mathew Magimai-Doss; Idiap Research Institute
 
  SPE-L3.5: FEATURE TRANSFORMATION BASED ON DISCRIMINANT ANALYSIS PRESERVING LOCAL STRUCTURE FOR SPEECH RECOGNITION
         Makoto Sakai; DENSO CORPORATION
         Norihide Kitaoka; Nagoya University
         Kazuya Takeda; Nagoya University
 
  SPE-L3.6: A FAST, ACCURATE APPROXIMATION TO LOG LIKELIHOOD OF GAUSSIAN MIXTURE MODELS
         Pierre Dognin; IBM
         Vaibhava Goel; IBM
         John R. Hershey; IBM
         Peder A. Olsen; IBM
 

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