Technical Program

SLP-L3: Novel Architectures and Training Strategies for ASR

Session Type: Lecture
Time: Wednesday, May 15, 08:30 - 10:30
Location: Auditorium 1
Session Chairs: Kai Yu, Shanghai Jiao Tong University and Olivier Siohan, Google
 
SLP-L3.1: UNIVERSAL ACOUSTIC MODELING USING NEURAL MIXTURE MODELS
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Amit Das; University of Illinois
         Jinyu Li; Microsoft
         Changliang Liu; Microsoft
         Yifan Gong; Microsoft
 
SLP-L3.2: TIMESCALENET : A MULTIRESOLUTION APPROACH FOR RAW AUDIO RECOGNITION
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Eric Bavu; Conservatoire National des Arts et Métiers
         Aro Ramamonjy; Conservatoire National des Arts et Métiers
         Hadrien Pujol; Conservatoire National des Arts et Métiers
         Alexandre Garcia; Conservatoire National des Arts et Métiers
 
SLP-L3.3: ENCRYPTED SPEECH RECOGNITION USING DEEP POLYNOMIAL NETWORKS
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Shixiong Zhang; Tencent AI Lab
         Yifan Gong; Microsoft Corporation
         Dong Yu; Tencent AI Lab
 
SLP-L3.4: LEARNING DISCRIMINATIVE FEATURES IN SEQUENCE TRAINING WITHOUT REQUIRING FRAMEWISE LABELLED DATA
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Jun Wang; Tencent
         Dan Su; Tencent
         Jie Chen; Tencent
         Shulin Feng; Peking University
         Dongpeng Ma; Tencent
         Na Li; Tencent
         Dong Yu; Tencent
 
SLP-L3.5: IMPROVING CTC USING STIMULATED LEARNING FOR SEQUENCE MODELING
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Jahn Heymann; Paderborn University
         Khe Chai Sim; Google AI
         Bo Li; Google AI
 
SLP-L3.6: DISTRIBUTED DEEP LEARNING STRATEGIES FOR AUTOMATIC SPEECH RECOGNITION
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Wei Zhang; IBM
         Xiaodong Cui; IBM
         Ulrich Finkler; IBM
         Brian Kingsbury; IBM
         George Saon; IBM
         David Kung; IBM
         Michael Picheny; IBM