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Program

Conference overview

A Paper Search function is also available.

 
Sunday, May 12
14:00 - 17:00
Tutorial T1: Personalising Sound over Loudspeakers
Tutorial T2: Data Augmentation Techniques for Deep Learning
Tutorial T3: Unlocking New Dimensions in Radio-based Positioning "5G Localization"
Tutorial T4: Inverse Problems in Image Restoration: From Basic Principles to Current Deep-Learning Trends
 
Monday, May 13
08:00 - 17:00
Meeting Fellow Evaluation Committee Meeting Meeting Room 3
09:00 - 12:00
Tutorial T5: Quantum Communications: Signal Processing Meets Entanglement
Tutorial T6: Signal Processing for Vehicular Systems
Tutorial T7: Cross-Modal Music Retrieval and Applications
Tutorial T8: Learning Nonlinear and Dynamic Connectivity and Processes over Graphs
14:00 - 17:00
Tutorial T9: Detection and Classification of Acoustic Scenes and Events
Tutorial T10: Sketching Tools for Big Data Signal Processing
Tutorial T11: Signal Processing and Beyond Using Deep Generative Models
14:00 - 16:30
MathWorks Workshop: Deep Learning on Signals with MATLAB
15:30 - 17:00
Young Professionals Development Workshop - Session 1: Powerful Presentations Auditorium 2
16:30 - 18:00
Signal Processing Cup (SP Cup) The Restaurant
17:30 - 19:00
Young Professionals Development Workshop - Session 2: Transforming Slide Design Auditorium 2
18:00 - 21:00
Welcome Reception Brighton Pier
 
Tuesday, May 14
09:00 - 10:30
Opening Ceremony, State of the Society, Awards Presentation Auditorium 1
10:30 - 11:00
Break
11:00 - 12:00
Plenary PLEN-1: Sir David John Spiegelhalter, "Handling Uncertainty" Auditorium 1
12:00 - 13:30
Meeting IEEE Journal of Selected Topics in Signal Processing Editorial Board Meeting Room 14
Meeting IEEE Signal Processing Letters Editorial Board Meeting Room 5
Meeting IEEE Signal Processing Magazine Editorial Board Office 11
Meeting IEEE Transactions on Computational Imaging Editorial Board Office 2
Meeting IEEE Transactions on Image Processing Editorial Board Meeting Room 9
Meeting IEEE Transactions on Information Forensics and Security Editorial Board Meeting Room 6
Meeting IEEE Transactions on Signal and Information Processing over Networks Editorial Board Meeting Room 3
Meeting IEEE Transactions on Signal Processing Editorial Board Meeting Room 15
Meeting IEEE/ACM Transactions on Audio, Speech & Language Processing Edtiorial Board The Restaurant
12:00 - 16:00
Meeting Membership Board Meeting Meeting Room 10
12:00 - 13:30
Meeting Standing Committee on Industry DSP Technology Technical Committee Meeting Room 8
13:30 - 15:30
SLP-L1: End-to-end Speech Recognition I: General Topics Lecture Room 1
MLSP-L1: Deep Learning Applications I Lecture Room 2
AASP-L1: Detection and Classification of Acoustic Scenes and Events I Lecture Room 3
IVMSP-L1: Image/Video Coding I Lecture Room 4
SPCOM-L1: Massive MIMO Lecture Room 5
SPTM-L1: Adaptive Signal Processing Lecture Room 6
DISPS-L1: Design and Implementation of Emerging Signal Processing Systems: Machine Learning Lecture Room 7
SLP-P1: Multi-lingual Identification and Processing Poster Area A
SLP-P2: Speaker Verification and Identification I Poster Area B
CI-P1: CIM Poster Session 1 Poster Area C
AASP-P1: Acoustic Environments and Music Analysis Poster Area D
AASP-P2: Music Source Separation and Spatial Audio Poster Area E
IVMSP-P1: Image/Video Coding II Poster Area F
MLSP-P1: Deep Learning II Poster Area G
MLSP-P2: Reinforcement and Transfer Learning Poster Area H
SPTM-P1: Sampling, Reconstruction and Time-Frequency Analysis Poster Area I
SS SS-P1: Recent Advances in the Active Control of Sound Poster Area J
BISP-P1: Neuro Image and Signal Processing Poster Area K
15:30 - 16:00
Break
16:00 - 17:00
Plenary PLEN-2: Corinna Cortes, "Machine Learning at Google" Auditorium 1
17:00 - 17:30
Break
17:30 - 19:30
SLP-L2: End-to-end Speech Recognition II: New Models Lecture Room 1
MLSP-L2: Deep Learning I Lecture Room 2
AASP-L2: Detection and Classification of Acoustic Scenes and Events II Lecture Room 3
IVMSP-L2: Video Analysis Lecture Room 4
SPCOM-L2: Learning in Communication Systems Lecture Room 5
SPTM-L2: Sparsity-Aware Signal Processing I Lecture Room 6
DISPS-L2: Algorithm and Architecture Co-optimization Lecture Room 7
SLP-P3: Multi-lingual Speech Recognition Poster Area A
SLP-P4: Speaker Verification and Identification II Poster Area B
HLT-P1: Language modeling, ASR and Punctuation Prediction Poster Area C
AASP-P3: Auditory Modeling, Music Information Retrieval and Bioacoustics Poster Area D
AASP-P4: Source Separation and Music Information Retrieval Poster Area E
IVMSP-P2: Enhancement and Restoration II Poster Area F
MLSP-P3: Learning Theory and Methods II Poster Area G
MLSP-P4: Deep Learning Applications III Poster Area H
SPTM-P2: Bayesian Signal Processing I Poster Area I
SS SS-P2: Learning Methods in Complex and Hypercomplex Domains Poster Area J
BISP-P2: Bio Image and Signal Processing Poster Area K
18:00 - 19:30
Meeting Audio & Acoustic Signal Processing Technical Committee Meeting Room 5
Meeting Fellow Evaluation Committee Meeting Meeting Room 3
Meeting Internet of Things Special Interest Group Meeting Room 8
18:00 - 19:00
Meeting Publications Board Dinner Meeting Room 6
18:00 - 19:30
Meeting Signal Processing Theory and Methods Technical Committee Meeting Room 9
18:00 - 20:00
Young Professionals Networking Event Brighton City Music Hall
19:00 - 23:00
Meeting Publications Board Meeting Meeting Room 15
 
Wednesday, May 15
07:00 - 08:30
Meeting Conference Board Executive Subcommittee Office 11
Meeting Industrial Relations Committee Meeting Meeting Room 6
Meeting Joint Regional Committee Meeting Meeting Room 3
Meeting Machine Learning for Signal Processing Technical Committee Meeting Room 5
Meeting Membership Services Committee Meeting Meeting Room 8
08:30 - 10:30
SLP-L3: Novel Architectures and Training Strategies for ASR Lecture Room 1
MLSP-L3: Audio, Speech, and Natural Language Processing Lecture Room 2
AASP-L3: Source Separation and Speech Enhancement I Lecture Room 3
IVMSP-L3: Image Analysis Lecture Room 4
SPCOM-L3: Performance Analysis of Communication Systems Lecture Room 5
CI-L1: CIM Lecture Session 1 Lecture Room 6
SS SS-L1: Half a Century of Adaptive and Statistical Signal Processing Education Lecture Room 7
SLP-P5: End-to-end Speech Recognition III: Source Integration and Knowledge Transfer Poster Area A
SLP-P6: Features and Robustness for Speaker Identification Poster Area B
HLT-P2: Topic Modeling and Dialog Poster Area C
AASP-P5: Sensor Array Processing and Auditory Modeling Poster Area D
AASP-P6: Music Signal Analysis and Multimedia Poster Area E
IVMSP-P3: Segmentation and Tracking Poster Area F
MLSP-P5: Deep Learning III Poster Area G
MLSP-P6: Adversarial Learning Poster Area H
SPTM-P3: Sampling and Reconstruction II Poster Area I
SAM-P1: Sparsity, Super-Resolution and Imaging Poster Area J
BISP-P3: Bioimaging and Analysis Poster Area K
10:30 - 11:00
Break
11:00 - 12:00
Plenary PLEN-3: Mischa Dohler, "Internet of Skills – Where 5G, Robotics and AI Meet" Auditorium 1
12:00 - 13:30
Meeting Chapter Chairs Lunch Meeting Room 9
Meeting Education Committee Meeting Meeting Room 8
Meeting Student Services Committee Office 11
12:00 - 16:00
Meeting Technical Directors Board Meeting Meeting Room 6
12:00 - 14:00
Women in Signal Processing Panel Discussion The Restaurant
13:30 - 15:30
SLP-L4: Feature learning and adapation for ASR Lecture Room 1
MLSP-L4: Learning Theory and Methods I Lecture Room 2
AASP-L4: Source Separation and Speech Enhancement II Lecture Room 3
IVMSP-L4: Image Restoration Lecture Room 4
SS SS-L2: Communications and Radar Transmission: Coexistence and Beyond Lecture Room 5
SS SS-L3: Recent Advances in Signal Processing for Large-Scale Computational Imaging Lecture Room 6
SPED-L1: Signal Processing for Education Lecture Room 7
SLP-P7: End-to-end Speech Recognition IV: Training Strategies Poster Area A
SLP-P8: Features and Learning for Speaker Identification and Diarization Poster Area B
HLT-P3: Machine Learning for Understanding Poster Area C
AASP-P7: Active Noise Control, Source Separation, and System Identification Poster Area D
AASP-P8: Spatial Audio, Audio Enhancement and Bandwidth Extension Poster Area E
IVMSP-P4: Image/Video Analysis I Poster Area F
MLSP-P7: Machine Learning Applications I Poster Area G
MLSP-P8: Probabilistic Models Poster Area H
SPTM-P4: Estimation Theory and Methods I Poster Area I
SPTM-P5: Bayesian Signal Processing II Poster Area J
BISP-P4: Bioinformatics Poster Area K
15:30 - 16:00
Break
16:00 - 18:00
SLP-L5: Speech Enhancement I Lecture Room 1
MLSP-L5: Deep Learning Applications II Lecture Room 2
AASP-L5: Spatial Audio Recording and Reproduction Lecture Room 3
IVMSP-L5: Interpolation and Super-resolution Lecture Room 4
SS SS-L4: Signal Processing for Emerging Wireless Hardware Architectures Lecture Room 5
SPTM-L3: Convex Optimization Lecture Room nbsp;6
SS SS-L5: Traditional and Emerging Signal Processing Teaching Practices Lecture Room 7
SLP-P9: Keyword Spotting and Embedded ASR Systems Poster Area A
SLP-P10: Analysis of Voice, Speech and Language Disorders II Poster Area B
HLT-P4: Training regimes for Emotion and Sentiment Analysis Poster Area C
AASP-P9: Quality Measures and Sensor Array Processing Poster Area D
IFS-P1: Forensics, Security and Privacy II Poster Area E
IVMSP-P5: Image/Video Analysis II Poster Area F
MLSP-P9: Matrix and Tensor Methods II Poster Area G
MLSP-P10: Learning Theory and Methods III Poster Area H
SPTM-P6: Signal Processing on Networks Poster Area I
SAM-P2: Radar and Acoustic Array Processing Poster Area J
BISP-P5: Cardiological Signal Processing Poster Area K
16:00 - 17:30
Meeting AE Best Practices Discussion Meeting Room 15
19:00 - 22:00
Banquet
 
Thursday, May 16
07:00 - 08:30
Meeting Bio Imaging & Signal Processing Technical Committee Meeting Room 10
Meeting Design and Implementation of Signal Processing Systems Technical Committee Meeting Room 3
Meeting SigPort Editorial Board Office 13
08:00 - 10:00
SLP-L6: Systems for Speaker Recognition and Identification Lecture Room 1
MLSP-L6: Matrix and Tensor Methods I Lecture Room 2
AASP-L6: Music Signal Analysis, Processing and Synthesis Lecture Room 3
IVMSP-L6: Enhancement and Restoration I Lecture Room 4
SAM-L1: Direction of Arrival Estimation Lecture Room 5
SPTM-L4: Signal Processing Over Graphs I Lecture Room 6
MMSP-L1: Multimodal Signal Processing I Lecture Room 7
SLP-P11: ASR Training Strategies and Toolkits Poster Area A
SLP-P12: Speech Analysis Poster Area B
BD-P1: BD Poster Session 1 Poster Area C
AASP-P10: Audio Security and Source Separation Poster Area D
IFS-P2: Attacks and Detection Poster Area E
IVMSP-P6: Retrieval Poster Area F
MLSP-P11: Semi-supervised and Unsupervised Learning Poster Area G
MLSP-P12: Deep Learning Applications IV Poster Area H
SPTM-P7: Performance Analysis and Bounds Poster Area I
DISPS-P1: Design and Implementation of Emerging Signal Processing Systems: Machine Learning / Neuromorphic Computing / IoT Poster Area J
BISP-P6: Medical Imaging and Analysis Poster Area K
10:00 - 10:30
Break
10:30 - 11:30
Plenary PLEN-4: Talk by The 2018 Norbert Wiener Society Awardee, John R. Treichler Auditorium 1
11:30 - 13:00
Meeting Computational Imaging Technical Committee Meeting Room 3
Meeting Information Forensics and Security Technical Committee Office 11
Meeting Multimedia Signal Processing Technical Committee Meeting Room 8
Meeting Resource Center Office 13
Meeting Sensor Array & Multichannel Signal Processing Technical Committee Meeting Room 5
Meeting Signal Processing for Communications and Networking Technical Committee Meeting Room 9
Meeting Speech & Language Processing Technical Committee Meeting Room 15
11:30 - 14:30
Student Career Luncheon Auditorium 2
12:00 - 17:00
Meeting Executive Committee Meeting Meeting Room 14
13:00 - 15:00
SLP-L7: Diarization and Speaker Characterization Lecture Room 1
MLSP-L7: Graph Signal Processing Lecture Room 2
AASP-L7: Music Information Retrieval Lecture Room 3
HLT-L1: Applications: Translation, Summarization, QA Lecture Room 4
SAM-L2: MIMO Systems and MIMO Radar Lecture Room 5
SPTM-L5: Source Separation and Estimation Lecture Room 6
IFS-L1: Information Forensics and Security I Lecture Room 7
SLP-P13: New Features, Models and Representations / Audio Visual ASR Poster Area A
SLP-P14: Speech Analysis of Extralinguistic Factors Poster Area B
BD-P2: BD Poster Session 2 Poster Area C
AASP-P11: Audio Coding and Acoustic Event Detection Poster Area D
SS SS-P3: 3D Vision and its Applications Poster Area E
IVMSP-P7: Image/Video Feature Extraction Poster Area F
MLSP-P13: Deep Learning IV Poster Area G
SS SS-P4: Tensor-based Machine Learning for Multi-dimensional Signal Processing Poster Area H
SPTM-P8: Detection Theory and Methods Poster Area I
DISPS-P2: Algorithm and Architecture Optimization Poster Area J
15:00 - 15:30
Break
15:30 - 17:30
SLP-L8: Analysis of Voice, Speech and Language Disorders I Lecture Room 1
MLSP-L8: Compressive Sensing, Dictionary and Subspace Learning Lecture Room 2
SS SS-L6: Acoustic Scene Analysis and Tracking for Time-varying Reverberant Environments Lecture Room 3
HLT-L2: Dialogue Lecture Room 4
SAM-L3: Sparse Arrays and Sparse Sensing Lecture Room 5
SS SS-L7: Nonlinear Inverse Problems and Matrix Factorization Lecture Room 6
IFS-L2: Information Forensics and Security II Lecture Room 7
SLP-P15: Distant Speech Recognition Poster Area A
SLP-P16: Architectures for Emotion and Sentiment Analysis Poster Area B
IoT-P1: SP for IoT Poster Session 1 Poster Area C
AASP-P12: Sensor Array Processing and Medical Acoustics Poster Area D
SS SS-P5: Multimodal Representation Learning for Language Generation and Understanding Poster Area E
IVMSP-P8: Image Formation Poster Area F
MLSP-P14: Dictionary, Subspace and Manifold Learning Poster Area G
SPCOM-P1: Networks and Distributed Optimization Poster Area H
SPTM-P9: Signal Processing Over Graphs II Poster Area I
DISPS-P3: Signal Processing for Emerging Applications: FinTech/AR-VR/Autonomous Vehicles Poster Area J
17:30 - 18:00
Break
18:00 - 20:00
SS SS-L8: Challenges and Perspectives in Spike-based Sensing and Processing Lecture Room 2
SS SS-L9: Emerging Quantum Signal Processing Paradigms Lecture Room 3
SS SS-L10: Perceptually Motivated Signal Processing: Data, Algorithms and Evaluation Lecture Room 4
BD-L1: BD Lecture Session 1 Lecture Room 5
SS SS-L11: Parahermitian Matrix Factorisations and their Applications Lecture Room 6
BISP-L1: Biomedical Image Analysis Lecture Room 7
SLP-P17: Robust Speech Recognition Poster Area A
SLP-P18: Voice Conversion Poster Area B
IoT-P2: SP for IoT Poster Session 2 Poster Area C
AASP-P13: Acoustic Scene Classification and Music Signal Analysis Poster Area D
IDSP-P1: Signal Processing for Emerging and Practical Applications Poster Area E
IVMSP-P9: Motion Estimation and Tracking Poster Area F
MLSP-P15: Audio and Speech Applications Poster Area G
SPCOM-P2: Antennas Design and Channel Estimation Poster Area H
SPTM-P10: Signal Processing Over Graphs III Poster Area I
SAM-P3: Beamforming and Source Separation Poster Area J
18:00 - 19:30
Meeting Big Data Special Interest Group Meeting Room 10
18:00 - 19:00
Meeting Conference Board Dinner Meeting Room 3
19:00 - 23:00
Meeting Conference Board Meeting Meeting Room 15
 
Friday, May 17
08:30 - 10:30
SLP-L9: Using Multiple Perspectives in Emotion and Sentiment Analysis Lecture Room 1
SS SS-L12: AI for Sound: A Session Honoring Jan Larsen Lecture Room 2
SS SS-L13: Statistical Signal Processing for Smart Grid Applications Lecture Room 3
SS SS-L14: Artificial Intelligence based Human-Machine Conversation technology for Interactive Education Lecture Room 4
SS SS-L15: Signal Processing for Big Data Lecture Room 5
SS SS-L16: Robust Distributed Computing Lecture Room 6
BISP-L2: Biomedical Imaging Lecture Room 7
SLP-P19: Speech Enhancement II Poster Area A
SLP-P20: Speech Synthesis II Poster Area B
MMSP-P1: Multimodal Signal Processing II Poster Area C
AASP-P14: Acoustic Event Detection and Speech Enhancement Poster Area D
IFS-P3: Biometrics Poster Area E
IVMSP-P10: Stereoscopic and 3D Processing Poster Area F
MLSP-P16: Image and Video Applications Poster Area G
SPCOM-P3: Precoding and Transceiver Design Poster Area H
SPTM-P11: Estimation Theory and Methods II Poster Area I
SAM-P4: Localization and Tracking Poster Area J
08:30 - 09:15
Meeting DISPS TC Review Meeting Meeting Room 9
09:15 - 10:00
Meeting Big Data SIG TC Review Meeting Meeting Room 9
10:00 - 10:45
Meeting IOT SIG TC Review Meeting Meeting Room 9
10:30 - 11:00
Break
10:45 - 11:30
Meeting IDSP Standing Committee Review Meeting Meeting Room 9
11:00 - 12:00
Plenary PLEN-5: Herman Ney, "Speech" Auditorium 1
12:00 - 15:00
Authors Best Practices and IEEE Author Tools Workshop Meeting Room 10
Meeting Awards Board Meeting Meeting Room 6
12:00 - 13:30
Meeting Data Science Initiative Meeting Meeting Room 8
12:00 - 14:00
Meeting ICASSP to ICASSP The Restaurant
12:00 - 13:30
Meeting Women in Signal Processing Committee Meeting Meeting Room 3
13:30 - 15:30
SLP-L10: Speech Synthesis I Lecture Room 1
SS SS-L17: Advances in Structured and Constrained Low-rank Approximations Lecture Room 2
SS SS-L18: Wildlife Bioacoustics and Adaptive Signal Processing Lecture Room 3
SS SS-L19: Deep Learning for Multimedia Forensics Lecture Room 4
SS SS-L20: Signal and Image Processing for Environmental Monitoring and Protection Lecture Room 5
SS SS-L21: Advanced Signal Processing for Non-intrusive Load Monitoring Lecture Room 6
BISP-L3: Biomedical Signal Processing Lecture Room 7
SLP-P21: Speech Separation, Enhancement and Denoising Poster Area A
SLP-P22: Speech Synthesis III Poster Area B
MMSP-P2: Visual Communications and Quality Assessment Poster Area C
AASP-P15: Spatial Audio Recording and Detection and Classification of Acoustic Scenes and Events Poster Area D
IFS-P4: Steganography, Watermarking and Secret Sharing Systems Poster Area E
IVMSP-P11: Image/Video Processing I Poster Area F
MLSP-P17: Deep Learning V Poster Area G
SPCOM-P4: Optimization and Resource Allocation for Communication Systems Poster Area H
SPTM-P12: Sparsity-Aware Signal Processing II Poster Area I
SAM-P5: Detection, Estimation and Classification Poster Area J
15:30 - 16:00
Break
16:00 - 18:00
SLP-L11: Models of Speech Production Lecture Room 1
SS SS-L22: Neural Networks for Signal Processing Applications Lecture Room 2
SS SS-L23: Signal Processing for Smart City Applications and the Internet of Things Lecture Room 3
SS SS-L24: Machine Learning for Communications Lecture Room 4
SS SS-L25: Anomaly Detection and Intent Inference in Object Tracking Lecture Room 5
SLP-P23: End-to-end Speech Recognition V: Modeling Methods Poster Area A
SLP-P24: Speech Coding and Perception Poster Area B
MMSP-P3: Multimedia Analysis Poster Area C
AASP-P16: Music Signal Analysis, Feedback and Echo Cancellation and Equalization Poster Area D
IFS-P5: Forensics, Security and Privacy I Poster Area E
IVMSP-P12: Image/Video Processing II Poster Area F
MLSP-P18: Machine Learning Applications II Poster Area G
SPCOM-P5: Multicarrier and Interference Networks Poster Area H
SPTM-P13: Optimization Tools Poster Area I

Plenary Speakers

Sir David John Spiegelhalter

Understanding Uncertainty

University of Cambridge, UK

Tuesday 14th May 2019 (AM)


Title:
“Handling Uncertainty”


Corinna Cortes

Machine Learning

Google Research, New York, US

Tuesday 14th May 2019 (PM)


Title:
“Machine Learning at Google”


Mischa Dohler

Internet of Skills – Where 5G, Robotics and AI Meet

Wednesday 15th May 2019 (11.30-12.30)

Today’s internet, accessed by fixed and mobile networks, allows us to transmit files, voice and video across the planet. With the emergence of an ultra-responsive and reliable ‘Tactile Internet,’ advanced techniques in robotics and artificial intelligence, we predict the emergence of an ‘Internet of Skills’ which allows the transmission of labor globally. It will invoke an important shift from content-delivery to skillset-delivery networks, where engineers would service cars or surgeons performing critical operations anywhere on the planet. For this to work, however, we require some fundamental laws of physics to be “reengineered.” This keynote will discuss the vision, technology and building blocks for said emerging Internet of Skills. I will deep-dive into some of these building blocks, such as 5G and its ability to deliver ultra-low latency networking capabilities as well as open challenges from a signal processing point of view.
 


John R. Treichler

The 2018 Norbert Wiener Society Award

Applied Signal Technology Inc., US

Thursday 16th May 2019 (10:30-11:30)



Hermann Ney

40 years of automatic speech recognition: from statistical decision theory to deep learning

Friday 17th May 2019 (11:00-12:00)

Today’s internet, accessed by fixed and mobile networks, allows us to transmit files, voice and video across the planet. With the emergence of an ultra-responsive and reliable ‘Tactile Internet,’ advanced techniques in robotics and artificial intelligence, we predict the emergence of an ‘Internet of Skills’ which allows the transmission of labor globally. It will invoke an important shift from content-delivery to skillset-delivery networks, where engineers would service cars or surgeons performing critical operations anywhere on the planet. For this to work, however, we require some fundamental laws of physics to be “reengineered.” This keynote will discuss the vision, technology and building blocks for said emerging Internet of Skills. I will deep-dive into some of these building blocks, such as 5G and its ability to deliver ultra-low latency networking capabilities as well as open challenges from a signal processing point of view.

Tutorials

Tutorial proposals have now been accepted, especially those related to the theme of the conference and to new and emerging topics.

Tutorials will have a duration of 3 hours and will take place at the conference venue on Sunday and Monday, i.e., May 12 and 13, 2019.


Accepted Tutorial Sessions
Tutorial Details Tutorial Title Schedule
Personalising Sound Over Loudspeakers Sun PM
Data augmentation techniques for deep learning Sun PM
Unlocking new Dimensions in Radio-based Positioning “5G Localization” Sun PM
Inverse problems in image restoration: from basic principles to current deep-learning trends Sun PM
Quantum Communications :  Signal Processing meets Entanglement Mon AM
Signal processing for vehicular systems Mon AM
Cross-Modal Music Retrieval and Applications Mon AM
Learning Nonlinear and Dynamic Connectivity and Processes over Graphs Mon AM
Detection and Classification of Acoustic Scenes and Events Mon PM
Sketching Tools for Big Data Signal Processing Mon PM
Signal Processing and Beyond Using Deep Generative Models Mon PM

Tutorials - chair

Patrick Naylor

Imperial College London, UK

Dave Bull

University of Bristol, UK

Mark Plumbley

University of Surrey, UK

Special sessions

The program for ICASSP 2019 will include Special Sessions that complement the traditional program with new and emerging topics of interest to the signal-processing community, especially those in line with our theme of Empowering Science and Technology for Humankind​. The aim of a special session is to provide an overview of the state-of-the-art as well as to highlight current research directions and challenges in specific fields of signal processing.

Inquiries about Special Sessions can be sent to specialsessions@icassp2019.com and CCed to stephan.weiss@strath.ac.uk and sjg@eng.cam.ac.uk


Special Sessions, 2019

Signal processing for body sensor networks Anomaly Detection in Acoustic Signals, Images, Video, and Sensor Data Streams
Deep Learning for Medical Imaging 3D Vision and Its Applications
Recent Advances in the Active Control of Sound Nonlinear Inverse Problems and Matrix Factorization
Advanced Signal Processing for Non-intrusive Load Monitoring Machine Learning for Multimedia Communications and Computing
Signal processing for multimedia security, privacy and trust Wildlife Bioacoustics and Adaptive Signal Processing
Challenges and Perspectives in spike-based sensing and processing Half a century of adaptive and statistical signal processing education
Traditional and Emerging Signal Processing Teaching Practices Perceptually motivated signal processing: data, algorithms and evaluation
Signal and Image Processing for Environmental Monitoring and Protection Learning Methods in Complex and Hypercomplex Domains
Artificial Intelligence based Human-Machine Conversation technology for Interactive Education Deep Learning for Multimedia Forensics
Parahermitian Matrix Factorisations and their Applications Signal Processing for Emerging Wireless Hardware Architectures
Signal Processing for Smart City Applications and the Internet of Things Anomaly Detection and Intent Inference in Object Tracking
Cross-modal Semantic Segmentation, Search and Knowledge Discovery Multimodal Representation Learning for Language Generation and Understanding
Advances in structured and constrained low-­‐rank approximations Emerging Methods for Multi-sensor Data Fusion and Tracking
Using AI and Signal Processing to empower human learning Communications and Radar Transmission: Coexistence and Beyond
Robust Distributed Computing AI for Sound: A Session Honoring Jan Larsen
Neural Networks for Signal Processing Applications Image and Video Processing for Public Security Applications
Recent Advances in Signal Processing for Large-Scale Computational Imaging Signal Processing for Sensing, Information Fusion, and Situational Awareness in Autonomous Systems
Statistical Signal Processing for Smart Grid Applications Tensor-based machine learning for multi-dimensional signal processing
Signal Processing for Big Data Machine Learning for Communications
Acoustic scene analysis and tracking for time-varying reverberant environments Emerging Quantum Signal Processing Paradigms

Special sessions - chair

Stephan Weiss

Electronic and Electrical Engineering

Simon Godsill

Signal Processing and Communications

Signal Processing Cup (SP Cup)

IEEE Signal Processing Cup
Monday, 13 May 2019 - 16:30-18:00

The Signal Processing Cup (SP Cup) student competition, presented by the IEEE Signal Processing Society, gives students the opportunity to work together to solve real-life problems using signal processing methods. After students submit their work, three final teams are selected to present their work and compete for the grand prize at ICASSP 2019!

Interested in competing? See the competition guidelines below! The submission deadline is 28 February 2019.

While only the final three teams will be competing at ICASSP 2019, all are welcome to watch the students present their work during the final competition. Join us and come see the action!

IEEE Signal Processing Cup 2019:
Search & Rescue with Drone-Embedded Sound Source Localization

For full competition details, eligibility requirements, and team registration, visit the IEEE Signal Processing Society website.

The IEEE Signal Processing Society proudly announces the sixth edition of the Signal Processing Cup: an audio-based search and rescue challenge using drones.

The goal of this competition is for teams to build a system capable of localizing a sound source based on audio recordings made with a microphone array embedded in an unmanned aerial vehicle (UAV), also called drone. Teams will use their signal processing expertise to process the audio signals in ordered to extract relevant spatial cues to estimate the direction of arrival of a speech source. Key challenges are the large amount of noise present in the recordings due to the UAV's rotors and wind, and the dynamics of realistic flights, involving fast movements.

The competition will consist of two stages; an open competition that any eligible team can participate in and an invitation-only final competition. Teams participating in the open competition must submit their entries no later than February 28, 2019. The three teams with the highest performance in the open competition will be selected as finalists and will be invited to participate in the final competition. Finalists will be announced on March 20, 2019. The three teams invited to participate in the final competition will be judged at ICASSP 2019, which will be held May 12-17, 2019.

UAVs have been of increasing influence in recent years. Search and rescue scenarios where humans in emergency situations need to be quickly found in areas difficult to access constitute an important field of application for this technology. Drones have already been used in places like Haiti and the Philippines to map areas after a natural disaster, using high-resolution embedded cameras (see this recent United Nation report: http://tiny.cc/xmy0zy). On the other hand, whenever there is a lack of visual feedback due to bad lighting conditions (night, fog, etc.) or occlusions, audio signals could be of critical help to localize people in emergency. While sound source localization is a long-standing signal processing research topic, the unique challenges introduced by UAV search and rescue are at the heart of this IEEE signal processing cup edition. Detailed information about the competition can be found throughout this webpage.

To access data and ask technical questions, please enroll this project using the following steps:

  • Go to piazza.com and click "Students Get Started"
  • Search Schools: "IEEE SPS"
  • Selected Term: "Other"
  • Class 1: "SPCUP 2019: IEEE Signal Processing Cup 2019"
  • Class Access Code: "spcup2019"

You'll then be able to ask questions either as public inquiries to the SP Cup 2019 community or via private messages to the organizers.

IEEE SPS Signal Processing Cup Website

Register: SP Cup 2019 Registration Page

Submission deadline: February 28, 2019

This competition is sponsored by MathWorks®.

Student Career Luncheon

Student Career Luncheon

Thursday, 16 May 2019 - 11:30-14:30

Are you a student or new graduate ready to take the leap to building your career? Join us at the Student Career Luncheon at ICASSP 2019! Hosted by the IEEE Signal Processing Society, the Student Career Luncheon connects eligible students and graduates with industry representatives to explore job opportunities within their companies. Attendees have the chance to meet with representatives and learn about job openings, while recruiters can meet potential talent and conduct on-site interviews. Registration is free for students, but application and acceptance is required for attendance.

Is your company attending ICASSP and hoping to recruit new talent? Consider sponsoring the Student Career Luncheon for the opportunity to meet the bright, emerging minds launching their signal processing careers. Interested in learning more? Fill out the sponsor interest form!

Click here to submit your application to the Student Career Luncheon. You will receive your application decision approximately three weeks before the event.

Apply for the Student Career Luncheon now



Samsung

Sponsors of the Student Career Luncheon

Young Professionals Development Workshop

Join the SPS Young Professionals and Present Your Science’s Melissa Marshall for a two-part workshop on how to create engaging, dynamic presentations that effectively communicate the impact of your work to a broader audience. During two sessions, you’ll learn how to use practical content strategies and visuals to transform your presentations, making your work more memorable throughout all areas of your career. Space is limited, so register now!


Price: $15/session, $25 for a two-session bundle

Monday, 13 May 2019, Session 1 - Powerful Presentations, 3:30-5:00 PM

  1. Teach participants to enact an audience-centered speaking approach.
  2. Help participants understand which scientific details to emphasize in their presentation and which details to filter out.
  3. Equip participants with content strategies to engage their audience in the story of their science.
  4. Show participants an easy to use structure to give a short and engaging Elevator Pitch about their work.

Monday, 13 May 2019, Session 2 - Transforming Slide Design, 5:30-7:00 PM

  1. Transform the way participants think about slides in a scientific presentation.
  2. Equip participants to understand and enact the assertion evidence slide design in their own talks to make their scientific presentations more understandable, memorable, and engaging.
  3. Teach practical strategies for improved "framing" slides such as title, agenda, and conclusion slide.
  4. Give improved techniques for pre-read and handout documents.

Want more information? Contact the SPS Young Professionals Subcommittee at sp-sc-yp@ieee.org!

Authors Best Practices and IEEE Author Tools

Authors Best Practices and IEEE Author Tools will take place on Friday 17, May from 12:00 pm to 3:00 pm. This informative workshop is designed for and targeted to new authors who need to quickly and successfully publish their work. The first half of this workshop will provide a comprehensive review of author best practices and development covering author ethics along with interactive case studies, preparation of your manuscript, application for funding and grants, avoiding bibliometric and citation manipulation, and submission and the peer review process, all while offering suggestions towards the best practices to a fast and successful publication. The second half of this workshop will be presentations about new and updated IEEE author tools covering the following: IEEE DataPort™, a new IEEE product and service in support of submitting data and code in an IEEE dedicated repository (with support from the Signal Processing Society); Code Ocean, a third-party repository to store and run algorithmic code, and the IEEE Author Center, which is now the premier tool covering everything an author needs to navigate through the author journey: from tools and templates, selecting a journal, choosing the correct copyright, posting pre- and post-publication, access to editorial and production tools, and finally, to article dissemination to IEEE Xplore™. Please join us for this informative workshop designed to assist new authors in the timely and successful publishing of their work.

Bill Colacchio, SPS Senior Manager, Publications & Education Strategy and Services, will moderate the event.

Show & Tell

ICASSP 2019 has the promotion of Signal Processing Innovation at the very core of its activities and thus cordially welcomes proposals for "show-and-tell" demonstration sessions (demos). These have been proven to serve both as a natural platform for researchers from academia and industry to demonstrate their groundbreaking prototypes, elucidate innovative signal processing solutions, or as a wider discussion forum.

The theme of ICASSP 2019 is "Empowering Science and Technology or Humankind", and the organisers of ICASSP 2019 encourage presentations of demos related to any of the technical areas within the merit of IEEE SPS, as summarised at IEEE ICASSP 2019 - Call for Papers

A successful demo proposal will be allocated space in the central Reception/Exhibition area and will run in parallel to the standard technical sessions. The full ICASSP program can be found at IEEE ICASSP 2019 - Conference Overview

The “show-and-tell” presenters will have at their disposal: a table, a board for a poster/banner, and an electrical power connection. It is the responsibility of the presenters to cater for any other equipment, shipping and delivery costs, and care of their exhibit items during the conference.

As a demonstrator, you will need to register for ICASSP, in order to be given a demonstrator's kit. Once at the conference site, please liaise with the local organisers regarding any practical issue, including set-up times and layout of your demonstration space.

The deadline for submission of proposals is March 18, 2019, while the decisions on the successful proposals for presentation will be made by March 25, 2019. To submit your proposal, please follow this link IEEE ICASSP 2019 - Show & Tell Proposal Submissions

To enquire about any issue related prior to your demo proposal, please contact the TC Chairs of ICASSP 2019 at SP19-TPChairs@lists.securecms.com

We very much look forward to welcoming you at ICASSP in Brighton, a venue where Signal Processing meets the needs of modern humankind.


Important dates

March 18, 2019 Submission of Show & Tell Proposals
March 25, 2019 Notification of Show & Tell Proposals Acceptance

Women in Signal Processing

Women in Signal Processing Panel Discussion:

IEEE Fellow and Beyond: How to Get There
Wednesday, 15 May 2019 - 12:00-2:00 PM

Join the IEEE Women in Signal Processing Committee for lunch followed by a panel discussion and Q&A with distinguished SPS members as they shed light on the IEEE Fellow elevation process, including how to start preparing years ahead before you may think you should. Panelists to be announced soon!

For any panel related questions, please contact Women in Signal Processing Committee Chair, Namrata Vaswani .

Add your name to the new Women in Signal Processing Directory and join the WISP mailing list! Visit the WISP website to learn more.

Apple

Sponsors of the Women in Signal Processing Luncheon

Apple

Sponsors of the Women in Signal Processing Luncheon

Student Grant Winners

IEEE Ganesh N. Ramaswamy Memorial Student Travel Grant

Sponsored by: IBM Corporation

Winner of the IEEE Ganesh N. Ramaswamy Memorial Student Grant:

David Snyder, Johns Hopkins University, USA
P3993: SPEAKER RECOGNITION FOR MULTI-SPEAKER CONVERSATIONS USING X-VECTORS
with Daniel Garcia-Romero, Gregory Sell, Alan McCree, Daniel Povey, and Sanjeev Khudanpur

Administered by the IEEE Signal Processing Society, the Ganesh N. Ramaswamy Memorial Student Travel Grant recognizes the student author(s) of an outstanding paper(s) on speaker and language recognition area accepted for publication in the proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).

IEEE Spoken Language Processing Student Travel Grant

Sponsored by: Xuedong Huang, Alex Acero and Hsiao-Wuen Hon

Winners of the IEEE Spoken Language Processing Student Travel Grant:

Stefan Braun, University of Zurich and ETH Zurich, Switzerland
P3168: Parameter Uncertainty for End-to-End Speech Recognition
with Shih-Chii Liu

Administered by the IEEE Signal Processing Society, the Spoken Language Processing Student Travel Grant program honors the student(s) of an outstanding paper(s) in spoken language processing area accepted for publication in a conference (IEEE International Conference on Acoustics, Speech and Signal Processing) or a workshop (IEEE Workshop on Automatic Speech Recognition and Understanding).

Young Professional Networking

Young Professional Networking Event

Tuesday, 14 May 2019 - 18:00 - 20:00
Brighton Music Hall

Join the IEEE Signal Processing Society Young Professionals after the conference sessions for a networking reception at Brighton Music Hall! Just steps away from the conference venue, Brighton Music Hall features daily live music from local legendary music talent. Enjoy pier-to-pier views of the sea through the venue's Victorian arches and unwind with your colleagues to discuss careers, entrepreneurship, and opportunities in a fun and casual setting.

Social Events

Welcome Reception

Monday, 13 May 2019 - 18:00 - 22:00 (times to be confirmed)
Dresscode : Business Casual

You are kindly invited to kick off ICASSP 2019 in style at a special event for all delegates on Brighton Palace Pier. A listed Grade 11 building, at 1722 ft long Brighton Palace Pier is acknowledged as the finest pier ever built, combining traditional seaside with excitement and pace of the modern day. The Welcome Reception will be the first official event of the Conference and will give you the opportunity to meet the other participants during an informal networking evening. Join us for a drink and meet old and new friends, relax and enjoy a stylish yet casual and friendly evening. Welcome to Brighton!



ICASSP 2019 - Banquet

Wednesday, 15 May 2019 - (times to be confirmed)
Dresscode : Business Casual

We look forward to seeing you at the ICASSP 2019 Banquet hosted in the Empress Suite at The Grand Hotel. A historic Victorian seafront hotel in Brighton. Designed by John Whichcord Jr. and built in 1864, it was intended for members of the upper classes visiting the city and remains one of the Brighton's most expensive & exclusive hotels.

Join us at this amazing setting to celebrate the Conference and to continue to build on friendships. We will have drinks upon arrival, followed by a sit down dinner with entertainment - all this in one of the most beautiful and iconic sea view premises in Brighton.