2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

 
Friday, 4 June
07:00 - 16:00
PROGRESS Workshop
 
Saturday, 5 June
07:00 - 14:15
PROGRESS Workshop
 
Sunday, 6 June
09:30 - 13:30
Women in Signal Processing Panel Discussion
Young Professionals Workshop: Storytelling for Scientists
14:00 - 16:00
IEEE Signal Processing Cup
14:00 - 17:30
Tutorial T-1: Acoustic Environment Synthesis for XR
Tutorial T-2: DeepFake Generation and Detection
Tutorial T-3: Efficient Global Optimization and its Application to Wireless Interference Networks
Tutorial T-4: Localization-of-Things: New Opportunities in Signal Processing
Tutorial T-5: Meta Learning and its applications to Human Language Processing
Tutorial T-6: Wireless for Machine Learning
18:00 - 19:00
Orientation & Networking I
 
Monday, 7 June
09:30 - 12:00
Challenge Session CHLG-1: COVID-19 Diagnosis
10:00 - 13:30
Tutorial T-7: Assessment of Visual Signals: From Technical Quality to Aesthetic Quality
Tutorial T-8: Audio-Visual Speech Enhancement and Separation Based on Deep Learning
Tutorial T-9: Distant conversational speech recognition and analysis: Recent advances, and trends towards end-to-end optimization
Tutorial T-10: Model-based deep learning in signal processing
Tutorial T-11: Practical Massive MIMO: Performance Bottlenecks and How to Overcome Them
Tutorial T-12: Underdetermined Wideband Direction of Arrival Estimation and Target Localization
13:00 - 14:45
Challenge Session CHLG-2: ZYELL - NCTUNetwork Anomaly Detection Challenge
13:30 - 14:30
Orientation and Networking II
14:00 - 17:30
Tutorial T-13: Deep generative modeling of sequential data with dynamical variational autoencoders
Tutorial T-14: GPU-Acceleration of Signal Processing Workflows from Python
Tutorial T-15: Graph signal processing for machine learning: A review and new perspectives
Tutorial T-16: Reconfigurable Intelligent Surfaces for Future Wireless Communications
Tutorial T-17: Signal Processing for Mass Testing in Fighting a Pandemic: A Sampling Theory Perspective
Tutorial T-18: Signal Processing for Vehicular Sensing and Communications Coexistence
15:30 - 17:45
Challenge Session CHLG-3: Multi-Speaker Multi-Style Voice Cloning Challenge (M2VoC)
17:30 - 18:00
Tutorial Attendee Social
18:00 - 21:00
Welcome Reception; Sponsored by Qualcomm
18:00 - 19:00
Young Professionals Panel Discussion
 
Tuesday, 8 June
08:00 - 09:00
Orientation and Networking III
Wake-Up Wellness
09:00 - 09:30
Opening Ceremony ICASSP Opening Ceremony: SPS Opening Remarks and State of the Society
09:30 - 10:00
Opening Ceremony ICASSP Opening Ceremony: Conference Organizer Welcome and Program Overview, Mayor remarks
10:00 - 10:05
Plenary Introduction Introduction of Plenary Speaker Karl Friston
10:00 - 11:00
Plenary Talk PLEN-1: Plenary I: Deep Interference
11:00 - 11:30
Virtual Coffee Break, Exhibits, Networking
11:30 - 12:30
Industry Keynote IND-1: Thinking Beyond 5G and Road to 6G: Technologies and Standards
12:30 - 13:00
Virtual Coffee Break, Exhibits, Networking
13:00 - 13:45
SPE-1: Speech Recognition 1: Neural Transducer Models 1
SPE-2: Speech Recognition 2: Neural transducer Models 2
SPE-3: Speech Synthesis 1: Architecture
SPE-4: Speech Synthesis 2: Controllability
HLT-1: Language Modeling 1: Fusion and Training for End-to-End ASR
HLT-2: Language Modeling 2: Neural Language Models
AUD-1: Audio and Speech Source Separation 1: Speech Separation
AUD-2: Audio and Speech Source Separation 2: Music and Singing Voice Separation
Special Session SS-1: Beamforming for Intelligent Surfaces
IVMSP-1: Object Detection 1
IVMSP-2: Object Detection 2
IFS-1: Multimedia Forensics 1
IFS-2: Multimedia Forensics 2
MLSP-1: Deep Learning Training Methods 1
MLSP-2: Deep Learning Training Methods 2
MLSP-3: Deep Learning Training Methods 3
BIO-1: Brain-Computer Interfaces
BIO-2: Biomedical Signal Processing: Detection and Estimation
BIO-3: Machine Learning for COVID-19 diagnosis
SPTM-1: Detection Theory and Methods 1
SPTM-2: Detection Theory and Methods 2
14:00 - 14:45
SPE-5: Speech Enhancement 1: Speech Separation
SPE-6: Speech Enhancement 2: Speech Separation and Dereverberation
SPE-7: Speaker Recognition 1: Benchmark Evaluation
SPE-8: Speaker Recognition 2: Channel and Domain Robustness
HLT-3: Dialogue Systems 1: General Topics
HLT-4: Dialogue Systems 2: Response Generation
AUD-3: Music Signal Analysis, Processing, and Synthesis 1: Deep Learning
AUD-4: Music Signal Analysis, Processing, and Synthesis 2: Analysis and Processing
Special Session SS-2: Deep Learning Methods for Solving Linear Inverse Problems
Special Session SS-3: Machine Learning in Wireless Networks
IVMSP-3: Image & Video Coding 1
IVMSP-4: Image & Video Coding 2
MMSP-1: Multimedia Signal Processing
MMSP-2: Deep Learning for Multimedia Analysis and Processing
MLSP-4: Machine Learning for Classification Applications 1
MLSP-5: Machine Learning for Classification Applications 2
MLSP-6: Compressed Sensing and Learning
MLSP-7: Tensor Signal Processing
BIO-4: Machine Learning and Signal Processing for Neural Signals
BIO-5: Neuroimaging and Neural Signal Processing
SPTM-3: Estimation, Detection and Learning over Networks 1
SPTM-4: Estimation, Detection and Learning over Networks 2
15:00 - 15:05
Plenary Introduction Introduction of Plenary Speaker, Manuela Veloso
15:00 - 16:00
Plenary Talk PLEN-2: Plenary II: AI in Finance: Data, Reasoning, and Values
16:00 - 16:30
Virtual Coffee Break, Exhibits, Networking
16:30 - 17:15
SPE-9: Speech Recognition 3: Transformer Models 1
SPE-10: Speech Recognition 4: Transformer Models 2
SPE-11: Voice Conversion 1: Non-parallel Conversion
SPE-12: Voice Conversion 2: Low-Resource & Cross-Lingual Conversion
SPCOM-1: Signal Processing for Networks
SPCOM-2: Information Theory, Coding and Security
AUD-5: Active Noise Control, Echo Reduction, and Feedback Reduction 1: Echo Cancellation
AUD-6: Active Noise Control, Echo Reduction, and Feedback Reduction 2: Active Noise Control and Echo Cancellation
Special Session SS-4: Data Science Methods for COVID-19
IVMSP-5: Super-resolution 1
IVMSP-6: Super-resolution 2 & Multi-scale Processing
ASPS-1: Architectures
ASPS-2: Algorithm/Architecture Co-design
MLSP-8: Learning
MLSP-9: Learning Theory for Neural Networks
MLSP-10: Deep Learning for Speech and Audio
MLSP-11: Self-supervised Learning for Speech Processing
SAM-1: Direction of Arrival Estimation 1
SAM-2: Direction of Arrival Estimation 2
SPTM-5: Sampling, Multirate Signal Processing and Digital Signal Processing 1
SPTM-6: Sampling, Multirate Signal Processing and Digital Signal Processing 2
17:30 - 18:30
Industry Keynote IND-2: Transforming Hearing Aids into Multifunctional Health and Communication Devices
18:30 - 19:30
Happy Hour Networking
Social Event
21:00 - 21:30
State of the Society Watch Party
21:30 - 22:00
ICASSP 2021 Opening Ceremony Watch Party
22:00 - 23:00
Plenary Watch Party PLEN-1W: Plenary I (Friston) Watch Party and Q&A
23:00 - 00:00
Industry Keynote Watch Party IND-1W: Thinking Beyond 5G and Road to 6G: Technologies and Standards
 
Wednesday, 9 June
03:00 - 04:00
Plenary Watch Party PLEN-2W: Plenary II (Veloso), Watch Party
05:30 - 06:30
Industry Keynote Watch Party IND-2W: Transforming Hearing Aids into Multifunctional Health and Communication Devices
08:00 - 09:00
Wake-Up Wellness
08:00 - 09:45
Demonstration DEMO-1: Show and Tell Demonstrations 1
10:00 - 10:05
Plenary Introduction Introduction of Plenary Speaker, Ali Sayed
10:00 - 11:00
Plenary Talk PLEN-3: Plenary III and Norbert Weiner Lecture: Learning over Graphs
11:00 - 11:30
Meet the General Chairs
Virtual Coffee Break, Exhibits, Networking
11:30 - 12:30
Industry Keynote IND-3: Quantum Computing and Implications for Signal Processing
12:00 - 15:00
Student Job Fair
12:30 - 13:00
Virtual Coffee Break, Exhibits, Networking
13:00 - 13:45
SPE-13: Speech Recognition 5: New Algorithms
SPE-14: Speech Recognition 6: New Algorithms for Sparsity/Efficiency
SPE-15: Speech Synthesis 3: Vocoder
SPE-16: Speech Synthesis 4: Front-end
HLT-5: Language Understanding 1: End-to-end Speech Understanding 1
HLT-6: Language Understanding 2: End-to-end Speech Understanding 2
AUD-7: Audio and Speech Source Separation 3: Deep Learning
AUD-8: Audio and Speech Source Separation 4: Multi-Channel Source Separation
Special Session SS-5: Domain Adaptation for Multimedia Signal Processing
IVMSP-7: Machine Learning for Image Processing
IVMSP-8: Machine Learning for Image Processing
IVMSP-9: Zero and Few Short Learning
IVMSP-10: Metric Learning and Interpretability
MLSP-12: Federated Learning 1
MLSP-13: Federated Learning 2
MLSP-14: Learning Algorithms 1
MLSP-15: Learning Algorithms 2
BIO-6: Medical Image Segmentation
BIO-7: Medical Image Formation and Reconstruction
SPTM-7: Estimation Theory and Methods 1
SPTM-8: Estimation Theory and Methods 2
14:00 - 14:45
SPE-17: Speech Enhancement 3: Target Speech Extraction
SPE-18: Speech Enhancement 4: Multi-channel Processing
SPE-19: Speaker Recognition 3: Attention and Adversarial
SPE-20: Speaker Recognition 4: Applications
HLT-7: Speech Translation 1: Models
HLT-8: Speech Translation 2: Aspects
AUD-9: Music Information Retrieval and Music Language Processing 1: Beat and Melody
AUD-10: Music Information Retrieval and Music Language Processing 2: Singing Voice
AUD-11: Auditory Modeling and Hearing Instruments
Special Session SS-6: Intelligent Sensing and Communications for Emerging Applications
IVMSP-11: Image & Video Segmentation
IVMSP-12: Image & Video Interpretation and Understanding
MMSP-3: Multimedia Synthesis and Enhancement
MMSP-4: Image, Video and Point Cloud Coding
MLSP-16: ML and Graphs
MLSP-17: Graph Neural Networks
MLSP-18: Matrix Factorization and Applications
MLSP-19: Non-Negative Matrix Factorization
BIO-8: Biological Image Analysis
BIO-9: Medical Image Analysis
SPTM-9: Estimation, Detection and Learning over Networks 3
SPTM-10: Distributed Learning over Graphs
15:00 - 15:30
Virtual Coffee Break, Exhibits, Networking
15:30 - 16:15
SPE-21: Speech Recognition 7: Training Methods for End-to-End Modeling
SPE-22: Speech Recognition 8: Multilingual Speech Recognition
SPE-23: Speech Emotion 1: Speech Emotion Recognition
SPE-24: Speech Emotion 2: Neural Networks for Speech Emotion Recognition
SPE-25: Speech Emotion 3: Emotion Recognition - Representations, Data Augmentation
SPE-26: Speaker Verification Spoofing and Countermeasures
AUD-12: Detection and Classification of Acoustic Scenes and Events 1: Few-shot learning
AUD-13: Detection and Classification of Acoustic Scenes and Events 2: Weak supervision
AUD-14: Quality and Intelligibility Measures
Special Session SS-7: Multi-function Radio Frequency System: Radar, Communication, Positioning and Beyond
IVMSP-13: Image Enhancement and Restoration
IVMSP-14: Hyperspectral Imaging
IVMSP-15: Local Descriptors and Texture
IVMSP-16: Point Clouds and Depth
MLSP-20: Attention and Autoencoder Networks
MLSP-21: Generative Neural Networks
MLSP-22: Sequential Learning
CI-1: Theory for Computational Imaging
CI-2: Computational Imaging for Inverse Problems
16:30 - 17:15
SPE-27: Speech Recognition 9: Confidence Measures
SPE-28: Speech Recognition 10: Robustness to Human Speech Variability
SPE-29: Speech Processing 1: Production
SPE-30: Speech Processing 2: General Topics
HLT-9: Style and Text Normalization
HLT-10: Multi-modality in Language
AUD-15: Modeling, Analysis and Synthesis of Acoustic Environments 1: Soundfield Acquisition and Reproduction
AUD-16: Modeling, Analysis and Synthesis of Acoustic Environments 2: Spatial Audio
AUD-17: Modeling, Analysis and Synthesis of Acoustic Environments 3: Acoustic Analysis
Special Session SS-8: Near-ML Decoding of Error-correcting Codes: Algorithms and Implementation
IVMSP-17: Looking at People
IVMSP-18: Faces in Images & Videos
IFS-3: Forensics and Biometrics
IFS-4: Surveillance, Biometrics and Security
MLSP-23: Applications in Music and Audio Processing
MLSP-24: Applications in Audio and Speech Processing
SAM-3: MIMO Radar Array Processing
SAM-4: MIMO and Massive MIMO Array Processing
SPTM-11: Graphs Neural Networks
SPTM-12: Sampling, Filtering and Denoising over Graphs
17:30 - 18:30
Industry Keynote IND-4: Advancing Video Collaboration and Augmented Reality through Wireless, Edge, and Cloud
18:30 - 19:30
Happy Hour Networking
Social Event
22:00 - 23:00
Plenary Watch Party PLEN-3W: Plenary III, Wiener Award (Sayed), Watch Party and Q&A
23:00 - 00:00
Industry Keynote Watch Party IND-3W: Quantum Computing and Implications for Signal Processing
 
Thursday, 10 June
05:30 - 06:30
Industry Keynote Watch Party IND-4W: Advancing Video Collaboration and Augmented Reality through Wireless, Edge, and Cloud
08:00 - 09:00
Wake-Up Wellness
10:00 - 10:05
Plenary Introduction Introduction of Plenary Speaker, Bernhard Scholkopf
10:00 - 11:00
Plenary Talk PLEN-4: Plenary IV: From Statistical to Causal AI
11:00 - 11:30
Virtual Coffee Break, Exhibits, Networking
11:30 - 12:30
Industry Keynote IND-5: The Versatile Video Coding Standard: Application Perspectives
12:30 - 13:00
Virtual Coffee Break, Exhibits, Networking
13:00 - 13:45
SPE-31: Speech Recognition 11: Novel Approaches
SPE-32: Speech Recognition 12: Self-supervised, Semi-supervised, Unsupervised Training
SPE-33: Speech Synthesis 5: Prosody & Style
SPE-34: Speech Synthesis 6: Data Augmentation & Adaptation
HLT-11: Language Understanding 3: Speech Understanding - General Topics
HLT-12: Language Understanding 4: Semantic Understanding
AUD-18: Audio and Speech Source Separation 5: Source Separation
AUD-19: Audio and Speech Source Separation 6: Topics in Source Separation
Special Session SS-9: Contactless and Wireless Sensing for Smart Environments
Special Session SS-10: Computer Audition for Healthcare (CA4H)
IVMSP-19: Deraining and Dehazing
IVMSP-20: Denoising and Deblurring
ASPS-3: IoT
ASPS-4: Autonomous Systems
MLSP-25: Reinforcement Learning 1
MLSP-26: Reinforcement Learning 2
MLSP-27: Reinforcement Learning 3
BIO-10: Deep Learning for EEG Analysis
BIO-11: Deep Learning for Physiological Signals
SPTM-13: Models, Methods and Algorithms 1
SPTM-14: Models, Methods and Algorithms 2
14:00 - 14:45
SPE-35: Speech Enhancement 5: DNS Challenge Task
SPE-36: Speech Enhancement 6: Multi-modal Processing
SPE-37: Speaker Recognition 5: Neural Embedding
SPE-38: Speaker Recognition 6: Self-supervised and Unsupervised Learning
HLT-13: Information Extraction
HLT-14: Language Representations
AUD-20: Music Information Retrieval and Music Language Processing 3: Topics in Music Information Retrieval
AUD-21: Music Information Retrieval and Music Language Processing 4: Structure and Alignment
Special Session SS-11: On-device AI for Audio and Speech Applications
IVMSP-21: Image & Video Quality
IVMSP-22: Image & Video Sensing, Modeling and Representation
MMSP-5: Human Centric Multimedia 1
MMSP-6: Human Centric Multimedia 2
MLSP-28: ML and Time Series
MLSP-29: Deep Learning for Time Series
MLSP-30: Graph Signal Processing
MLSP-31: Recommendation Systems
SAM-5: Microphone Array Signal Processing
SAM-6: Beamforming
SPTM-15: Graph Topology Inference and Clustering
SPTM-16: Graph Topology Inference
15:00 - 15:30
Virtual Coffee Break, Exhibits, Networking
15:30 - 16:15
SPE-39: Speech Recognition 13: Acoustic Modeling 1
SPE-40: Speech Recognition 14: Acoustic Modeling 2
SPE-41: Voice Activity and Disfluency Detection
SPE-42: Keyword Spotting
SPCOM-3: Beamforming
SPCOM-4: Channel Estimation for MIMO and Multiuser Systems
AUD-22: Detection and Classification of Acoustic Scenes and Events 3: Multimodal Scenes and Events
AUD-23: Detection and Classification of Acoustic Scenes and Events 4: Datasets and metrics
Special Session SS-12: Recent Advances in mmWave Radar Sensing for Autonomous Vehicles
IVMSP-23: Applications 1
IVMSP-24: Applications 2
IFS-5: Privacy and Information Security
IFS-6: Anonymization, Security and Privacy
MLSP-32: Optimization Algorithms for Machine Learning
MLSP-33: Optimization Methods
MLSP-34: Subspace Learning and Applications
MLSP-35: Independent Component Analysis
CI-3: Computational Photography
CI-4: Remote Sensing and Coded Aperture Imaging
SPTM-17: Sampling, Multirate Signal Processing and Digital Signal Processing 3
SPTM-18: Sampling Theory, Analysis and Methods
16:30 - 17:15
SPE-43: Speech Recognition 15: Robust Speech Recognition 1
SPE-44: Speech Recognition 16: Robust Speech Recognition 2
SPE-45: Speech Analysis
SPE-46: Corpora and Other Resources
HLT-15: Language Assessment
HLT-16: Applications in Natural Language
AUD-24: Signal Enhancement and Restoration 1: Deep Learning
AUD-25: Signal Enhancement and Restoration 2: Audio Coding and Restoration
AUD-26: Signal Enhancement and Restoration 3: Signal Enhancement
Special Session SS-13: Recent Advances in Multichannel and Multimodal Machine Learning for Speech Applications
IVMSP-25: Tracking
IVMSP-26: Attention for Vision
ASPS-5: Audio & Images
ASPS-6: Sensing & Sensor Processing
ASPS-7: Data Science & Machine Learning
MLSP-36: Pattern Recognition and Classification 1
MLSP-37: Pattern Recognition and Classification 2
MLSP-38: Neural Networks for Clustering and Classification
SAM-7: Detection and Estimation 1
SAM-8: Detection and Estimation 2
SAM-9: Detection and Classification
17:30 - 18:30
Industry Keynote IND-6: The Blockchain Evolution, Ecosystem and Landscape
18:30 - 19:30
Happy Hour Networking
Social Event
22:00 - 23:00
Plenary Watch Party PLEN-4W: Plenary IV (Scholkopf), Watch Party and Q&A
23:00 - 00:00
Industry Keynote Watch Party IND-5W: The Versatile Video Coding Standard: Application Perspectives
 
Friday, 11 June
05:30 - 06:30
Industry Keynote Watch Party IND-6W: The Blockchain Evolution, Ecosystem and Landscape
08:00 - 09:00
Wake-Up Wellness
08:00 - 09:45
Demonstration DEMO-2: Show and Tell Demonstrations 2
10:00 - 10:05
Plenary Introduction Introduction of Plenary Speaker, Helen Meng
10:00 - 11:00
Plenary Talk PLEN-5: Plenary V: Advancing Technological Equity in Speech and Language Processing
11:00 - 11:30
Virtual Coffee Break, Exhibits, Networking
11:30 - 12:15
SPE-47: Speech Recognition 17: Speech Adaptation and Normalization
SPE-48: Speech Recognition 18: Low Resource ASR
SPE-49: Speech Synthesis 7: General Topics
SPE-50: Voice Conversion & Speech Synthesis: Singing Voice & Other Topics
SPCOM-5: Detection and Decoding
SPCOM-6: System Design and Optimization
AUD-27: Acoustic Sensor Array Processing 1: Array Design and Calibration
AUD-28: Acoustic Sensor Array Processing 2: Beamforming
AUD-29: Acoustic Sensor Array Processing 3: Acoustic Sensor Arrays
Special Session SS-14: Robust Sensing and Detection in Congested Spectrum
IVMSP-27: Multi-modal Signal Processing
IVMSP-28: Image Synthesis
IFS-7: Information Hiding, Cryptography and Cybersecurity
IFS-8: Watermarking and Data Hiding
MLSP-39: Adversarial Machine Learning
MLSP-40: Contrastive Learning
MLSP-41: Deep Learning Optimization
MLSP-42: Neural Network Pruning
BIO-12: Feature Extraction and Fusion for Biomedical Applications
BIO-13: Deep Learning for Biomedical Applications
SPTM-19: Inference over Graphs
SPTM-20: Signal Processing over Graphs and Sparsity-Aware Signal Processing
12:30 - 13:00
Virtual Coffee Break, Exhibits, Networking
13:00 - 13:45
SPE-51: Speech Enhancement 7: Single-channel Processing
SPE-52: Speech Enhancement 8: Echo Cancellation and Other Tasks
SPE-53: Speaker Diarization
SPE-54: End-to-End Speaker Diarization and Recognition
HLT-17: Language Understanding 5: Question Answering and Reading Comprehension
HLT-18: Language Understanding 6: Summarization and Comprehension
AUD-30: Detection and Classification of Acoustic Scenes and Events 5: Scenes
AUD-31: Detection and Classification of Acoustic Scenes and Events 6: Events
SPCOM-7: Communication-enabled Applications
Special Session SS-15: Signal Processing for Collaborative Intelligence
IVMSP-29: Semantic Segmentation
IVMSP-30: Inverse Problems in Image & Video Processing
MMSP-7: Multimodal Perception, Integration and Multisensory Fusion
MMSP-8: Multimedia Retrieval and Signal Detection
MLSP-43: Biomedical Applications
MLSP-44: Multimodal Data and Applications
MLSP-45: Performance Bounds
MLSP-46: Theory and Applications
SAM-10: Sparse Array Design and Processing
SAM-11: Array Calibration and Performance Analysis
SPTM-21: Optimization Methods for Signal Processing
SPTM-22: Signal Processing Theory and Methods
14:00 - 14:45
SPE-55: Language Identification and Low Resource Speech Recognition
SPE-56: Paralinguistics in Speech
SPE-57: Speech, Depression and Sleepiness
SPE-58: Dysarthric Speech Processing
SPCOM-8: Deep learning for communications
SPCOM-9: Online and Active Learning for Communications
AUD-32: Audio for Multimedia and Audio Processing Systems
AUD-33: Topics in Deep Learning for Speech and Audio
AUD-34: Acoustic System Identification and Modeling
Special Session SS-16: Theoretical Foundations of Graph Neural Networks
IVMSP-31: Applications 3
IVMSP-32: Applications 4
IVMSP-33: Action Recognition
IVMSP-34: Inpaiting and Occlusions Handling
MLSP-47: Applications of Machine Learning
MLSP-48: Neural Network Applications
SAM-12: Tracking and Localization
SAM-13: Multi-Channel Data Fusion and Processing
SPTM-23: Bayesian Signal Processing
SPTM-24: Sparsity-aware Processing
16:00 - 16:25
Closing Ceremony Conference Organizer Closing and Conference Awards
16:25 - 16:30
Closing Ceremony Introduction of ICASSP 2022
16:30 - 17:00
Closing Ceremony SPS Awards Ceremony
17:00 - 17:30
Closing Ceremony SPS Town Hall
22:00 - 23:00
Plenary Watch Party PLEN-5W: Plenary V (Meng), Watch Party and Q&A