Technical Program

Paper Detail

Paper:MLSP-P4.9
Session:Learning Theory and Algorithms II
Location:Poster Area E
Session Time:Wednesday, May 29, 15:20 - 17:20
Presentation Time:Wednesday, May 29, 15:20 - 17:20
Presentation: Poster
Topic: Machine Learning for Signal Processing: Neural network learning (MLR-NNLR)
Paper Title: EXTRACTING DEEP BOTTLENECK FEATURES USING STACKED AUTO-ENCODERS
Authors: Jonas Gehring, Karlsruhe Institute of Technology (KIT), Germany; Yajie Miao, Florian Metze, Carnegie Mellon University, United States; Alex Waibel, Karlsruhe Institute of Technology (KIT), Germany