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Plenary Speakers

Sir David John Spiegelhalter

Understanding Uncertainty

University of Cambridge, UK

Tuesday 14th May 2019 (11:00-12:00)

“Handling Uncertainty”

Corinna Cortes

Machine Learning at Google

Tuesday 14th May 2019 (16:00-17:00)

In this talk, I will first present a brief overview of several of the ML research efforts at Google and their practical applications. Next, I will discuss more specifically recent advances in Federated Learning and Structured Prediction.

Mischa Dohler

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

Wednesday 15th 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.

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)

When research on automatic speech recognition (ASR) started, the data-driven or statistical approach was identified with Bayes decision rule, Gaussian models, hidden Markov models and the expectation-maximization algorithm. Today most ASR papers focus on deep neural networks and deep learning, along with many refinements described by acronyms like CNN, RNN, LSTM-RNN, etc. Although the principles of neural networks have been known for several decades, it was only a few years ago that neural networks resulted in clear improvements over competing techniques and became the mainstream in ASR.

Thus we are faced with the question of how the realization of the data-driven approach has changed over time. This talk will re-visit the key components of the data-driven approach to ASR and discuss how they were affected by the deep learning revolution: 1) the performance measure and the associated decision rule that generates the recognition result; 2) the probabilistic models like acoustic and language models that are used in the decision rule to capture the dependencies between the speech signal and the word string hypotheses; 3) the training criterion and optimization strategy that are employed to learn the free parameters of the probabilistic models. The talk will discuss experimental results to show how deep learning in particular improved the acoustic and language models of the data-driven approach.


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

Awards at ICASSP 2019

This year, we have awarded, 12 Best Student Paper Awards, 12 Outstanding Reviewer Awards and 4 Education Innovation Awards.


All award certificates were designed by Vladimir Vanja Vlacina

Best Student Paper Awards

Paper Title of the paper Student name Institution Award sponsored by
University of Jyväskylä, Finland
3168 PARAMETER UNCERTAINTY FOR END-TO-END SPEECH RECOGNITION Stefan Braun University of Zurich and ETH Zurich, Switzerland IBM
4608 DEEP SPLINE NETWORKS WITH CONTROL OF LIPSCHITZ REGULARITY Shayan Aziznejad École Polytechnique Fédérale de Lausanne, Switzerland Amazon
5257 ONE-BIT UNLIMITED SAMPLING Olga Graf Technical University of Munich, Germany Analog

Outstanding Reviewer Awards

Reviewer Affiliation Country
Anh-Huy Phan Skolkovo Institute of Science and Technology Russia
Antoine Liutkus INRIA France
Danilo Comminello La Sapienca University Italy
Dirk Slock EURECOM France
Ivan Bajic Simon Fraser University Canada
Konstantinos Slavakis SUNY at Buffalo USA
Palghat Vaidyanathan California Institute of Technology USA
Tirza Routtenberg Ben Gurion University of the Negev Israel
Waheed Bajwa Rutgers University USA
Woon-Seng Gan Nanyang Technological University Singapore
Xinze Guan eBay USA
Yuantao Gu Tsinghua University China

Education Innovation Awards

Anubha Gupta and Akanksha Farswan For groundbreaking achievements in teaching practices for Signal Processing Education IIIT-Delhi, India
James H. McClellan and Gregory A. Krudysz For groundbreaking contributions to Signal Processing Education Georgia Institute of Technology, USA
Roberto Togneri and Sally Male For ground-breaking contributions to teaching Signals and Systems University of Western Australia
Zhe Li, Xiangyu Chen, Wei Deng, Wenjiang Pei, and Yili Xia For groundbreaking achievements in technology driven Signal Processing Education Southeast University, China

ETON-Primers (Expert-no-Nonexpert) Short Tutorial

Free Attendance

Wednesday 15 May, 2019 (12:15 - 13:15)

ETON-Primer Presenter Affiliation Tutorial Location
1 Nuria González Prelcic University of Vigo, Spain

University of Texas at Austin, USA
Signal Processing for 5G Communications Syndicate 3
2 Sergios Theodoridis University of Athens, Greece Challenges in Deep Learning Syndicate 4
3 Urbashi Mitra University of Southern California, USA Sensing, Communication and Control: Opportunities for Signal Processing for Biological Systems Syndicate 1
4 Yun-Nung (Vivian) Chen National Taiwan University, Taiwan Learning for Language Generation & Understanding Syndicate 2

Thursday, 16 May (11:45 - 12:45)

ETON-Primer Presenter Affiliation Tutorial Location
1 DeLiang Wang Ohio State University, USA The Cocktail Party Problem: A Case Study in Deep Learning Syndicate 3
2 Georgios Giannakis University of Minnesota, USA Data and Network Sciences: SP Challenges and Opportunities Syndicate 2
3 Jose C Principe University of Florida at Gainsville, USA Understanding Dynamics of Deep Learning with Information Theory Syndicate 4
4 Mahesan Niranjan University of Southampton, UK Recent Developments in Machine Learning with a Focus on Communication Systems Syndicate 1

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 and CCed to and

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

IEEE Signal Processing Cup (SP Cup)

Monday, 13 May 2019 - 16:30-18:00 (Ocean View)

Finalist Teams

Winner: AGH

AGH University of Science and Technology
Supervisor: Jakub Gałka
Tutor: Szymon Woźniak
Students: Piotr Walas, Mateusz Guzik, Mieszko Fraś

Runner Up: Shout COOEE!

University of New South Wales
Supervisor: Vidhyasaharan Sethu
Students: Antoni Dimitriadis, Alvin Wong, Ethan Oo, Jennifer Jingyao, Prasanth Parasu, Qingbei Cheng, Hayden Ooi, Kevin Yu

2nd Runner Up: Idea!_ssu

Soongsil University
Supervisor: Sungbin Im
Tutor: Beomhee Jang
Students: Donggun Lee, Myeonghun Jeong, Minjae Park, Youngjae Lee, Jinyoung Son

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: 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 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 (Auditorium 2)

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

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 (Auditorium 2)

  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 (Auditorium 2)

  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!

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

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:

From Grad-School to IEEE Fellow and Beyond
Wednesday, 15 May 2019 - 12:00-2:00 PM (Auditorium 2)

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.

Panel Moderator Namrata Vaswani
Panelists Isabel Trancoso
Panelists Athina P. Petropulu
Panelists Yonina Eldar
Panelists Dilek Hakkani-Tür

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
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.