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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.
Section: Events
Date: 9 November 2022
Time: 9:30 AM ET (New York Time)
Title: Neural Spectrospatial Filter
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Section: Community & Involvement
Welcome to the Winter 2022 Edition of the Speech and Langua
Issue Date:
Section: Community & Involvement
Section: Publications & Resources
Speech enhancement and speech separation are two related tasks, whose purpose is to extract either one or more target speech signals, respectively, from a mixture of sounds generated by several sources.
Section: Publications & Resources
Separating the household aggregated energy consumption signal into its additive sub-components (the power signal from individual appliances), is called energy (power) disaggregation or non-intrusive load monitoring (NILM).
Section: Events
Date: November 17, 2022
Time: 1:00 PM ET (New York Time)
Title: Audio-visual Speech Enhancement and Separation Based on Deep Learning
Registration | Full webinar details
