SP-L8: Alternative ASR Methods |
| Session Type: Lecture |
| Time: Friday, March 30, 10:30 - 12:30 |
| Location: Room B-1 |
| Session Chairs: Dirk van Compernolle, K.U.Leuven – ESAT and Honza Cernocky, Brno University of Technology
|
| |
|
SP-L8.1: INFERENCE ALGORITHMS FOR GENERATIVE SCORE-SPACES
|
| Anton Ragni; University of Cambridge
|
| Mark Gales; University of Cambridge
|
| |
|
SP-L8.2: AUTO-ENCODER BOTTLENECK FEATURES USING DEEP BELIEF NETWORKS
|
| Tara Sainath; IBM T.J. Watson Research Center
|
| Brian Kingsbury; IBM T.J. Watson Research Center
|
| Bhuvana Ramabhadran; IBM T.J. Watson Research Center
|
| |
|
SP-L8.3: ANALYZING THE MEMORY OF BLSTM NEURAL NETWORKS FOR ENHANCED EMOTION CLASSIFICATION IN DYADIC SPOKEN INTERACTIONS
|
| Martin Woellmer; Technische Universitaet Muenchen
|
| Angeliki Metallinou; University of Southern California
|
| Nassos Katsamanis; University of Southern California
|
| Björn Schuller; Technische Universität München
|
| Shrikanth Narayanan; University of Southern California
|
| |
|
SP-L8.4: CLASSIFICATION AND RECOGNITION WITH DIRECT SEGMENT MODELS
|
| Geoffrey Zweig; Microsoft Research
|
| |
|
SP-L8.5: IMPROVED PRE-TRAINING OF DEEP BELIEF NETWORKS USING SPARSE ENCODING SYMMETRIC MACHINES
|
| Christian Plahl; RWTH Aachen University
|
| Tara Sainath; International Business Machines Corporation
|
| Bhuvana Ramabhadran; International Business Machines Corporation
|
| David Nahamoo; International Business Machines Corporation
|
| |
|
SP-L8.6: BOOSTING ATTRIBUTE AND PHONE ESTIMATION ACCURACIES WITH DEEP NEURAL NETWORKS FOR DETECTION-BASED SPEECH RECOGNITION
|
| Dong Yu; Microsoft Research
|
| Sabato Siniscalchi; Kore University of Enna
|
| Li Deng; Microsoft Research
|
| Chin-Hui Lee; Georgia Institute of Technology
|
| |