Technical Program

SP-P5: LVCSR

Session Type: Poster
Time: Wednesday, March 28, 10:30 - 12:30
Location: Poster Area B
Session Chairs: Kate Knill, Toshiba Research Europe and Yasuo Ariki, Kobe University
 
SP-P5.1: IMPROVING LANGUAGE MODELS FOR ASR USING TRANSLATED IN-DOMAIN DATA
         Stefan Kombrink; Brno University of Technology
         Tomas Mikolov; Brno University of Technology
         Martin Karafiat; Brno University of Technology
         Lukáš Burget; Brno University of Technology
 
SP-P5.2: EXPLOITING SPARSENESS IN DEEP NEURAL NETWORKS FOR LARGE VOCABULARY SPEECH RECOGNITION
         Dong Yu; Microsoft Research
         Frank Seide; Microsoft Research Asia
         Gang Li; Microsoft Research Asia
         Li Deng; Microsoft Research
 
SP-P5.3: IMPROVING ACOUSTIC BASED KEYWORD SPOTTING USING LVCSR LATTICES
         Petr Motlicek; IDIAP Research Institute
         Fabio Valente; IDIAP Research Institute
         Igor Szöke; Brno University of Technology
 
SP-P5.4: UNSUPERVISED VOCABULARY SELECTION FOR REAL-TIME SPEECH RECOGNITION OF LECTURES
         Paul Maergner; Carnegie Mellon University
         Alex Waibel; Karlsruhe Institute of Technology
         Ian Lane; Carnegie Mellon University
 
SP-P5.5: A LAYERED APPROACH FOR DUTCH LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION
         Joris Pelemans; Katholieke Universiteit Leuven
         Kris Demuynck; Katholieke Universiteit Leuven
         Patrick Wambacq; Katholieke Universiteit Leuven
 
SP-P5.6: JOINING ADVANTAGES OF WORD-CONDITIONED AND TOKEN-PASSING DECODING
         David Nolden; RWTH Aachen University
         David Rybach; RWTH Aachen University
         Ralf Schlüter; RWTH Aachen University
         Hermann Ney; RWTH Aachen University
 
SP-P5.7: EXTENDED SEARCH SPACE PRUNING IN LVCSR
         David Nolden; RWTH Aachen University
         Ralf Schlüter; RWTH Aachen University
         Hermann Ney; RWTH Aachen University
 
SP-P5.8: USING A* FOR THE PARALLELIZATION OF SPEECH RECOGNITION SYSTEMS
         Patrick Cardinal; CRIM
         Gilles Boulianne; CRIM
         Pierre Dumouchel; ETS
 
SP-P5.9: INVESTIGATIONS ON EXEMPLAR-BASED FEATURES FOR SPEECH RECOGNITION TOWARDS THOUSANDS OF HOURS OF UNSUPERVISED, NOISY DATA
         Georg Heigold; Google, Inc.
         Patrick Nguyen; Google, Inc.
         Mitchel Weintraub; Google, Inc.
         Vincent Vanhoucke; Google, Inc.
 
SP-P5.10: GOOGLE’S CROSS-DIALECT ARABIC VOICE SEARCH
         Fadi Biadsy; Google, Inc.
         Pedro Moreno; Google, Inc.
         Martin Jansche; Google, Inc.
 
SP-P5.11: AUTOMATIC ERROR REGION DETECTION AND CHARACTERIZATION IN LVCSR TRANSCRIPTIONS OF TV NEWS SHOWS
         Richard Dufour; Orange Labs, France Telecom
         Géraldine Damnati; Orange Labs, France Telecom
         Delphine Charlet; Orange Labs, France Telecom
 
SP-P5.12: IMPROVING ARABIC BROADCAST TRANSCRIPTION USING AUTOMATIC TOPIC CLUSTERING
         Stephen Chu; IBM T.J. Watson Research Center
         Lidia Mangu; IBM T.J. Watson Research Center