Technical Program
SP-L3: Acoustic Modeling with Neural Networks |
Session Type: Lecture |
Time: Wednesday, May 29, 08:00 - 10:00 |
Location: Room 211 |
Session Chair: Brian Kingsbury, IBM |
SP-L3.1: DEEP NEURAL NETWORK FEATURES AND SEMI-SUPERVISED TRAINING FOR LOW RESOURCE SPEECH RECOGNITION |
Samuel Thomas; The Johns Hopkins University |
Michael Seltzer; Microsoft Research |
Kenneth Church; IBM Research |
Hynek Hermansky; The Johns Hopkins University |
SP-L3.2: INVESTIGATING DEEP NEURAL NETWORK BASED TRANSFORMS OF ROBUST AUDIO FEATURES FOR LVCSR |
Enrico Bocchieri; AT&T Labs Research |
Dimitrios Dimitriadis; AT&T Labs Research |
SP-L3.3: FEATURE COMBINATION AND STACKING OF RECURRENT AND NON-RECURRENT NEURAL NETWORKS FOR LVCSR |
Christian Plahl; RWTH Aachen University |
Michał Kozielski; RWTH Aachen University |
Ralf Schlüter; RWTH Aachen University |
Hermann Ney; RWTH Aachen University |
SP-L3.4: MLP-BASED FACTOR ANALYSIS FOR TANDEM SPEECH RECOGNITION |
Marc Ferras; Idiap Research Institute |
Hervé Bourlard; Idiap Research Institute |
SP-L3.5: AN EMPIRICAL STUDY OF LEARNING RATES IN DEEP NEURAL NETWORKS FOR SPEECH RECOGNITION |
Andrew Senior; Google Inc. |
Georg Heigold; Google Inc. |
Marc'Aurelio Ranzato; Google Inc. |
Ke Yang; Google Inc. |
SP-L3.6: GAUSSIAN-BERNOULLI RESTRICTED BOLTZMANN MACHINES AND AUTOMATIC FEATURE EXTRACTION FOR NOISE ROBUST MISSING DATA MASK ESTIMATION |
Sami Keronen; Aalto University School of Science |
KyungHyun Cho; Aalto University School of Science |
Tapani Raiko; Aalto University School of Science |
Alexander Ilin; Aalto University School of Science |
Kalle Palomäki; Aalto University School of Science |