Tutorials
Sunday, March 25, 13:30 - 16:30
T-1: The Voice Behind the Speech: Speaker States, Traits, and Vocal Behavior
Björn Schuller and Florian Metze
T-2: Speech Modeling and Enhancement Using Diffusion Maps
Israel Cohen, Sharon Gannot, and Ronen Talmon
T-3: Signal Processing Meets Network Layers: Joint Protocol-Channel Decoding
Pierre Duhamel, Michel Kieffer
T-4: Learning in the Context of Set Theoretic Estimation: An Efficient and Unifying Framework for Adaptive Machine Learning and Signal Processing
Sergios Theodoridis, Isao Yamada, and Kostas Slavakis
T-5: Introduction to Business Analytics
Kush R. Varshney
Monday, March 26, 09:30 - 12:30
T-6: Reverberant Speech Processing for Human Communication and Automatic Speech Recognition
Tomohiro Nakatani, Armin Sehr, and Walter Kellermann
T-7: Distributed Data Fusion for Interactive Cognitive Environments
Carlo Regazzoni, Lucio Marcenaro
T-8: Very Large MIMO Systems
Erik G. Larsson and Fredrik Tufvesson
T-9: Deep Learning and Its Applications in Signal Processing
Dong Yu and Li Deng
T-13: Biological Signal Processing and Molecular Network Informatics
Jian-Qin Liu, Haruhiko Nishimura
Monday, March 26, 14:00 - 17:00
T-10: Bayesian Learning for Speech and Language Processing
Shinji Watanabe, Jen-Tzung Chien
T-11: Convex and Non-convex Approaches for Low-dimensional Models
Volkan Cevher, Mário Figueiredo
T-12: Bio-Inspired Cognition, Adaptation, and Learning over Networks
Ali H. Sayed
T-14: Fourier and Wavelet Signal Processing: Teaching SP with Geometry
Vivek K Goyal, Martin Vetterli
T-15: 3D Video Coding & Distribution
Anthony Vetro