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Section: Community & Involvement
The 16th International Workshop on Acoustic Signal Enhancement (IWAENC) will be held at Hitotsubashi Hall in Tokyo, Japan, on September 17 – 20, 2018. IWAENC was established in 1993, originally as the International Workshop on Acoustic Echo and Noise Control (this is how the abbreviation IWAENC came into use). It is the leading workshop in the signal processing community addressing theoretical and technical issues related to acoustic and speech signal acquisition and processing.
Section: Publications & Resources
Video distribution services have been growing exponentially in the past decade. Cisco Visual Network Index Report predicts that globally, IP video traffic will be 82 percent of all consumer Internet traffic by 2020, up from 70 percent in 2015. Video distribution services have been growing exponentially in the past decade. Cisco Visual Network Index Report predicts that globally, IP video traffic will be 82 percent of all consumer Internet traffic by 2020, up from 70 percent in 2015.
Section: Publications & Resources
"Digital Signal Processing with Kernel Methods" is a new book written by Jose Luis Rojo-Avarez, Manel Martinez-Ramon, Jordi Munoz-Mari, and Gustau Camps-Valls.
Senior Speech Recognition Engineer
Location: Cambridge, UK
Contact: careers@speechmatics.com
Background
Section: Publications & Resources
Virtual reality (VR) holds tremendous potential to advance our society. It is expected to make impact on quality of life, energy conservation, and the economy, and reach a $162B market by 2022.
Section: Events
Publication: IEEE Transactions on Multimedia
Manuscript Due: October 31, 2020
Publication Date: December 2021
CFP Document
Section: Our Story
McMaster University
Ontario, Canada
Section: Our Story
University of Virginia
Charlottesville, VA, USA
Section: Publications & Resources
In the past decade, deep learning methods have achieved unprecedented performance on a broad range of problems in various fields from computer vision to speech recognition. So far research has mainly focused on developing deep learning methods for Euclidean-structured data.
Section: Publications & Resources
The use of machine-learning for multimedia forensics is gaining more and more consensus, especially due to the amazing possibilities offered by modern machine learning techniques. By exploiting deep learning tools, new approaches have been proposed whose performance remarkably exceed those achieved by state-of-the-art methods based on standard machine-learning and model-based techniques.
