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Section: Publications & Resources
With the rapid progress of recent years, techniques that generate and manipulate multimedia content can now provide a very advanced level of realism. The boundary between real and synthetic media has become very thin.
Section: Publications & Resources
With the rapid progress of recent years, techniques that generate and manipulate multimedia content can now provide a very advanced level of realism. The boundary between real and synthetic media has become very thin.
Section: Events
Date: October 10, 2022
Time: 9:00 AM ET (New York Time)
Title: Media Forensics and DeepFakes: An Overview
Registration | Full webinar details
Section: Publications & Resources
As the most widely-used spatial filtering approach for multi-channel signal separation, beamforming extracts the target signal arriving from a specific direction. We present an emerging approach based on multi-channel complex spectral mapping, which trains a deep neural network (DNN) to directly estimate the real and imaginary spectrograms of the target signal from those of the multi-channel noisy mixture.
IEEE SPS-DSI Webinar: 19 October 2022, by Dr. Panagiotis A. Traganitis and Dr. Georgios B. Giannakis
Section: Publications & Resources
Crowdsourcing has emerged as a powerful paradigm for tackling various machine learning, data mining, and data science tasks, by enlisting inexpensive crowds of human workers, or annotators, to accomplish learning and inference tasks.
Section: Publications & Resources
Publication: IEEE Open Journal of Signal Processing
Reviewer Instructions for OJSP Reproducibility Reviews
Author Instructions For OJSP Reproducibility Review
Reviewer Instructions for OJSP Reproducibility Reviews-->ContextOJSP has initiated an enhanced reproducibility initiative for learning-based papers, i.e., papers where the primary results are obtained using a trained computational model, such as a deep neural network or a dictionary representation.
Section: Events
Date: October 19, 2022
Time: 3:00 PM (Paris Time)
Title: Learning from Unreliable Labels via Crowdsourcing
Registration | Full webinar details
Section: Publications & Resources
Voice conversion (VC) is a significant aspect of artificial intelligence. It is the study of how to convert one’s voice to sound like that of another without changing the linguistic content.
Section: Events
Date: 26 March-4 April 2023
Chapter: Victoria (Australia) Chapter
Chapter Chair: Jonathon Manton
Title: Understanding the Universality Phenomena in High-Dimensional Estimation and Learning: Some Recent Progress
Section: Events
Lecture Date: October 21, 2022
Chapter: Atlanta Chapter
Chapter Chair: Wendy Newcomb
Topic: Customized Federated Learning to the Edge
