Monday, 2nd July
Summer School
09:30 – 10:00 Registration / Coffee
10:00 – 12:30 Tutorial 1
Tensor Factorizations, Data Fusion & Applications
Evrim Acar
12:30 – 13:30 Lunch
13:30 – 16:00 Tutorial 2
Bayesian Inference and Deep Learning
Richard Turner
16:10 – 17:00 Tutorial 3
Evaluation of Musical Audio Source Separation
Russell Mason, Ryan Chungeun Kim, Dominic Ward
17:30 Welcome Reception
Tuesday, 3rd July
Conference Day 1
09:00 – 09:10 Welcome
09:10 – 10:10 Keynote
Computational Analysis of Sound Events in Realistic Multisource Environments
Tuomas Virtanen
10:10 – 10:50 Special Session: Structured Tensor Decompositions and Applications
Robust Multilinear Tensor Decomposition with Rank Estimation
Xu Han, Laurent Albera, Kachenoura Amar, Huazhong Shu, Lotfi Senhadji
Multichannel Audio Modeling with Elliptically Stable Tensor Decomposition
Mathieu Fontaine, Fabian-Robert Stöter, Antoine Liutkus, Umut Simsekli, Roland Badeau, Romain Serizel
10:50 – 11:20 Tea / Coffee
11:20 – 12:40 Special Session: Structured Tensor Decompositions and Applications (Cont.)
Sum Conditioned Poisson Factorization
Gokhan Capan, Semih Akbayrak, Taha Ceritli, Ali Taylan Cemgil
Curve Registered Coupled Low Rank Factorization
Jérémy Cohen, Rodrigo Cabral-Farias, Bertrand Rivet
Source Analysis using Block Term Decomposition in Atrial Fibrillation
Pedro Marinho, Vicente Zarzoso
Some Issues in Computing the CP Decomposition of NonNegative Tensors
Mohamad Jouni, Mauro Dalla Mura, Pierre Comon
12:40 – 12:55 Poster Spotlights
12:55 – 13:50 Lunch
13:50 – 15:10 Posters and Demos
Nonnegative PARAFAC2: A Flexible Coupling Approach
Jérémy Cohen, Rasmus Bro
Applications of Polynomial Common Factor Computation in Signal Processing
Ivan Markovsky, Antonio Fazzi, Nicola Guglielmi
Joint Nonnegative Matrix Factorization for Underdetermined Blind Source Separation in Nonlinear Mixtures
Ivica Kopriva
On the Number of Signals in Multivariate Time Series
Markus Matilainen, Klaus Nordhausen, Joni Virta
A Generative Model for Natural Sounds Based on Latent Force Modelling
William Wilkinson, Joshua Reiss, Dan Stowell
Multi-Resolution Fully Convolutional Neural Networks for Monaural Audio Source Separation
Emad M. Grais, Hagen Wierstorf, Dominic Ward, Mark D. Plumbley
Application of Independent Component Analysis to Tumor Transcriptomes Reveals Specific And Reproducible Immune-related Signals
Urszula Czerwinska, Laura Cantini, Ulykbek Kairov, Emmanuel Barillot, Andrei Zinovyev
Probit Latent Variables Estimation for a Gaussian Process Classifier. Application to the Detection of High-Voltage Spindles
Rémi Souriau, Vincent Vigneron, Jean Lerbet, Hsin Chen
Multichannel Audio Source Separation Exploiting NMF-based Generic Source Spectral Model in Gaussian Modeling Framework
Thanh Duong, Ngoc Duong, Cong-Phuong Nguyen, Quoc Cuong Nguyen
Orthogonality-Regularized Masked NMF with KL-Divergence for Learning on Weakly Labeled Audio Data
Iwona Sobieraj, Lucas Rencker, Mark D. Plumbley
Convergence of Jacobi-Type Algorithms for Simultaneous Approximate Diagonalization of Matrices or Tensors
Konstantin Usevich, Jianze Li and Pierre Comon
15:10 – 16:10 ICA Methods
Accelerating Likelihood Optimization for ICA on Real Signals
Pierre Ablin, Jean-Francois Cardoso, Alexandre Gramfort
Orthogonally-Constrained Extraction of Independent Non-Gaussian Component from Non-Gaussian Background without ICA
Zbynek Koldovsky, Petr Tichavsky, Nobutaka Ono
A New Link Between Joint Blind Source Separation Using Second Order Statistics and the Canonical Polyadic Decomposition
Dana Lahat, Christian Jutten
16:10 – 16:30 Tea / Coffee
16:30 – 17:30 Nonlinear Mixtures
A Blind Source Separation Method based on Output Nonlinear Correlation for Bilinear Mixtures
Andréa Guerrero, Yannick Deville, Shahram Hosseini
Using Taylor Series Expansions and Second-Order Statistics for Blind Source Separation in Post-Nonlinear Mixtures
Denis Gustavo Fantinato, Leonardo Tomazeli Duarte, Yannick Deville, Christian Jutten, Romis Attux, Aline Neves
New Classes of Blind Quantum Source Separation and Process Tomography Methods based on Spin Component Measurements along Two Directions
Yannick Deville, Alain Deville
Wednesday, 4th July
Conference Day 2
09:00 – 10:00 Keynote
Comparative Spectral Decompositions for Personalized Cancer Diagnostics and Prognostics
Orly Alter
10:00 – 10:40 Matrix and Tensor Factorizations
A Grassmannian Minimum Enclosing Ball Approach for Common Subspace Extraction
Emilie Renard, Kyle A. Gallivan, Pierre-Antoine Absil
Decoupling Multivariate Functions Using Second-Order Information and Tensors
Philippe Dreesen, Jeroen De Geeter, Mariya Ishteva
10:40 – 11:10 Tea / Coffee
11:10 – 12:10 Audio Data and Methods
Blind Signal Separation by Synchronized Joint Diagonalization
Hiroshi Sawada
Exploiting Structures of Temporal Causality for Robust Speaker Localization in Reverberant Environments
Christopher Schymura, Peng Guo, Yanir Maymon, Boaz Rafaely, Dorothea Kolossa
Relative Transfer Function Estimation From Speech Keywords
Ryan Corey, Andrew Singer
12:10 – 12:30 Special Session: SiSEC 2018
The 2018 Signal Separation Evaluation Campaign
Antoine Liutkus, Fabian-Robert Stöter, Nobutaka Ito
12:30 – 12:45 Poster Spotlights
12:45 – 13:40 Lunch
13:40 – 15:00 Posters and Demos
Image Completion with Nonnegative Matrix Factorization under Separability Assumption
Tomasz Sadowski, Rafal Zdunek
Long-Term SNR Estimation Using Noise Residuals and a Two-Stage Deep-Learning Framework
Xuan Dong, Donald Williamson
Probabilistic Sparse Non-negative Matrix Factorization
Jesper L. Hinrich, Morten Mørup
Spatial Filtering of EEG Signals to Identify Periodic Brain Activity Patterns
Dounia Mulders, Cyril de Bodt, Nicolas Lejeune, André Mouraux, Michel Verleysen
Perceptual Evaluation of Blind Source Separation in Object-based Audio Production
Philip Coleman, Qingju Liu, Jon Francombe, Philip Jackson
Improving Single-Network Single-Channel Separation of Musical Audio with Convolutional Layers
Gerard Roma, Owen Green, Pierre Alexandre Tremblay
DNN-Based Music Source Separation Using MMDenseNet and BLSTM Architectures
Stefan Uhlich, Franck Giron, Michael Enenkl, Thomas Kemp, Naoya Takahashi, Yuki Mitsufuji
Speech Separation Using Partially Asynchronous Microphone Arrays Without Resampling
Ryan M. Corey, Andrew C. Singer
Source Separation with Long Time Dependency Gated Recurrent Units Neural Networks
Dominic Ward, Qiuqiang Kong, Mark D. Plumbley
Latent Mixture Models for Automatic Music Transcription
Cian O’Brien, Mark D. Plumbley
Tensorlab 4.0 – A Preview
Michiel Vandecappelle, Martijn Boussey, Nico Vervliety, Matthieu Vendevilley, Rob Zinky and Lieven De Lathauwer
15:00 Social Event
19:00 Conference Banquet
Thursday, 5th July
Conference Day 3
09:00 – 10:00 Keynote
Tensor Networks and their Potential Applications in Dimensionality Reduction and Blind Signal Processing
Danilo Mandic
10:00 – 10:40 Deep Learning and Data-Driven Methods
Training Strategies for Deep Latent Models and Applications to Speech Presence Probability Estimation
Shlomo Chazan, Sharon Gannot, Jacob Goldberger
Jointly Detecting and Separating Singing Voice: A Multi-Task Approach
Daniel Stoller, Sebastian Ewert, Simon Dixon
10:40 – 11:10 Tea / Coffee
11:10 – 12:30 Special Session: Advances in Phase Retrieval and Applications
An Approximate Message Passing Approach for DOA Estimation in Phase Noisy Environments
Guillaume Beaumont, Angélique Dremeau, Ronan Fablet
An Expectation-Maximization Approach to Tuning Generalized Vector Approximate Message Passing
Christopher Metzler, Philip Schniter, Richard Baraniuk
A Study on the Benefits of Phase-Aware Speech Enhancement in Challenging Noise Scenarios
Martin Krawczyk-Becker, Timo Gerkmann
Phase Reconstruction for Time-Frequency Inpainting
Ama Marina Kreme, Valentin Emiya, Caroline Chaux
12:30 – 12:45 Poster Spotlights
12:45 – 13:40 Lunch
13:40 – 15:00 Posters and Demos
Feature Selection in Weakly Coherent Matrices
Stephane Chretien, Zhen Wai Olivier Ho
Variable Projection Applied to Block Term Decomposition of Higher-Order Tensors
Guillaume Olikier, Pierre-Antoine Absil, Lieven De Lathauwer
Independent Vector Analysis Exploiting Pre-Learned Banks of Relative Transfer Functions for Assumed Target's Positions
Jaroslav Cmejla, Tomáš Kounovský, Jiri Malek, Zbyněk Koldovský
Does k Matter? k-NN Hubness Analysis for Kernel Additive Modelling Vocal Separation
Delia Fano Yela, Dan Stowell, Mark Sandler
Improving Reverberant Speech Separation with Binaural Cues Using Temporal Context and Convolutional Neural Networks
Alfredo Zermini, Qiuqiang Kong, Yong Xu, Mark Plumbley, Wenwu Wang
Generating Talking Face Landmarks from Speech
Sefik Emre Eskimez, Ross K Maddox, Chenliang Xu, Zhiyao Duan
Using Hankel Structured Low-Rank Approximation for Sparse Signal Recovery
Ivan Markovsky, Pier Luigi Dragotti
Static and Dynamic Modeling of Absence Epileptic Seizures Using Depth Recordings
Saeed Akhavan, Ronald Phlypo, Hamid Soltanian-Zadeh, Mahmoud Kamarei, Christian Jutten
Muticriteria Decision Making Based on Independent Component Analysis: A Preliminary Investigation Considering the TOPSIS Approach
Guilherme Pelegrina, Leonardo Tomazeli Duarte, João Romano
A Latent Variable Model for Simultaneous Dimensionality Reduction and Connectivity Estimation
Ricardo Pio Monti and Aapo Hyvarinen
Loss Function Weighting Based on Source Dominance for Monaural Source Separation using Recurrent Neural Networks
Seungtae Kang and Gil-Jin Jang
15:00 – 16:20 Sparsity-Related Methods
Revisiting Synthesis Model in Sparse Audio Declipper
Pavel Záviška, Pavel Rajmic, Zdeněk Průša, Vítězslav Veselý
Consistent Dictionary Learning for Signal Declipping
Lucas Rencker, Francis Bach, Wenwu Wang, Mark Plumbley
Learning Fast Dictionaries for Sparse Representations using Low-Rank Tensor Decompositions
Cassio Dantas, Jérémy Cohen, Remi Gribonval
Truncated Variational Sampling for “Black Box” Optimization of Generative Models
Jörg Lücke, Zhenwen Dai, Georgios Exarchakis
16:20 – 16:40 Closing Remarks
Friday, 6th July
Audio Day
See full programme on the Audio Day 2018 website

The event includes the keynote
EPSRC, the UK research landscape, and audio engineering research
Philip Nelson