Technical Program

SP-L1: Neural Network Trends in Speech Recognition

Session Type: Lecture
Time: Tuesday, March 22, 13:30 - 15:30
Location: Yangtse River Hall (5F)
Session Chairs: Bhuvana Ramabhadran, IBM Watson and Michiel Bacchiani, Google Inc.
 
SP-L1.1: EXPLORING MULTIDIMENSIONAL LSTMS FOR LARGE VOCABULARY ASR
         Jinyu Li; Microsoft Corporation
         Abdelrahman Mohamed; Microsoft Corporation
         Geoffrey Zweig; Microsoft Corporation
         Yifan Gong; Microsoft Corporation
 
SP-L1.2: END-TO-END ATTENTION-BASED LARGE VOCABULARY SPEECH RECOGNITION
         Dzmitry Bahdanau; Université de Montréal
         Jan Chorowski; University of Wrocław
         Dmitriy Serdyuk; Université de Montréal
         Philémon Brakel; Université de Montréal
         Yoshua Bengio; Université de Montréal
 
SP-L1.3: DEEP CONVOLUTIONAL ACOUSTIC WORD EMBEDDINGS USING WORD-PAIR SIDE INFORMATION
         Herman Kamper; University of Edinburgh
         Weiran Wang; Toyota Technological Institute at Chicago
         Karen Livescu; Toyota Technological Institute at Chicago
 
SP-L1.4: VERY DEEP MULTILINGUAL CONVOLUTIONAL NEURAL NETWORKS FOR LVCSR
         Tom Sercu; IBM
         Christian Puhrsch; New York University
         Brian Kingsbury; IBM
         Yann LeCun; New York University
 
SP-L1.5: LISTEN, ATTEND AND SPELL: A NEURAL NETWORK FOR LARGE VOCABULARY CONVERSATIONAL SPEECH RECOGNITION
         William Chan; Carnegie Mellon University
         Navdeep Jaitly; Google Inc.
         Quoc Le; Google Inc.
         Oriol Vinyals; Google Inc.
 
SP-L1.6: A DEEP SCATTERING SPECTRUM - DEEP SIAMESE NETWORK PIPELINE FOR UNSUPERVISED ACOUSTIC MODELING
         Neil Zeghidour; Ecole des Hautes Etudes en Sciences Sociales
         Gabriel Synnaeve; Facebook A.I. Research
         Maarten Versteegh; École normale supérieure
         Emmanuel Dupoux; Ecole des Hautes Etudes en Sciences Sociales
 

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