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SPE-L9: Voice Search and Spoken Term Detection

Session Type: Lecture
Time: Thursday, April 23, 16:00 - 18:00
Location: Plenary Hall, TICC
Session Chair: Murat Saraclar, Bogaziçi University
 
  SPE-L9.1: VOICE SEARCH OF STRUCTURED MEDIA DATA
         Young-In Song; Korea University
         Ye-Yi Wang; Microsoft Research
         Yun-Cheng Ju; Microsoft Research
         Michael L. Seltzer; Microsoft Research
         Ivan Tashev; Microsoft Research
         Alex Acero; Microsoft Research
 
  SPE-L9.2: A SCALABLE METHOD FOR VOICE SEARCH TO NATIONWIDE BUSINESS LISTINGS
         Antonio Moreno-Daniel; Georgia Institute of Technology
         Jay Wilpon; AT&T Labs Research
         Biing-Hwang (Fred) Juang; Georgia Institute of Technology
 
  SPE-L9.3: ROBUST DISCRIMINATIVE KEYWORD SPOTTING FOR EMOTIONALLY COLORED SPONTANEOUS SPEECH USING BIDIRECTIONAL LSTM NETWORKS
         Martin Woellmer; Technische Universitaet Muenchen
         Florian Eyben; Technische Universitaet Muenchen
         Joseph Keshet; Idiap Research Institute
         Alex Graves; Technische Universitaet Muenchen
         Bjoern Schuller; Technische Universitaet Muenchen
         Gerhard Rigoll; Technische Universitaet Muenchen
 
  SPE-L9.4: A NEW METHOD FOR OOV DETECTION USING HYBRID WORD/FRAGMENT SYSTEM
         Ariya Rastrow; Johns Hopkins University
         Abhinva Sethy; IBM T. J. Watson Research Center
         Bhuvana Ramabhadran; IBM T. J. Watson Research Center
 
  SPE-L9.5: EFFECT OF PRONUNCIATIONS ON OOV QUERIES IN SPOKEN TERM DETECTION
         Dogan Can; Bogaziçi University
         Erica Cooper; MIT Computer Science and Artificial Intelligence Laboratory
         Abhinav Sethy; IBM T. J. Watson Research Center
         Christopher M. White; Johns Hopkins University
         Bhuvana Ramabhadran; IBM T. J. Watson Research Center
         Murat Saraclar; Bogaziçi University
 
  SPE-L9.6: LATENT TOPIC MODELING OF WORD CO-OCCURRENCE INFORMATION FOR SPOKEN DOCUMENT RETRIEVAL
         Berlin Chen; National Taiwan Normal University
 

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