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