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Spatial and immersive audio mimics real-world sound environments
In an era of ubiquitous video, audio is often relegated to a secondary role. Yet electronic audio in all of its various forms is now staging a strong comeback as listeners, increasingly dissatisfied with the output of highly compressed audio files and streams, seek higher sound quality on all types of fixed and mobile platforms.
Post Doc position: Integrating Models of Vision, Knowledge and Language
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(computer science, computational linguistics, physics or similar)
In this column of IEEE Signal Processing Magazine, 39 IEEE Signal Processing Society (SPS) members are recognized as IEEE Fellows and award recipients are announced.
Many ask me what signal processing should be doing in the age of big data. My answer is clear: signal processing should continue to generate big ideas. Big ideas for big data.
Our discipline has always advanced ingenious methods and theories, irrespective of the size of the data: small or big. Many of these ideas permeate disciplines far and wide, ranging from imaging to video; speech processing to coding and communications, forensics, security, and privacy; and also social media, machine learning, and data science.
Industry involvement is a significant area of interest for the IEEE Signal Processing Society (SPS). It is also a frequent topic of conversation at the SPS Board of Governors meetings. According to the SPS’s website (https:// signalprocessingsociety.org), 42% of our 19,000 members are from industry. Yet the number of attendees from industry of our flagship conference, the IEEE International Conference on Acoustics, Speech, and Signal Processing, is much lower, based on my best estimate from the sessions I attended.
Institute of Electronics and Computer Science (EDI), which is the best performing institute in Latvia in the field of Engineering and Computer Science, announces the opening of the competition for preliminary selection of postdoctoral applications for submission to the State Education Development Agency (SEDA) under the Activity 1.1.1.2 “Post-doctoral Research Aid” of the Specific Aid Objective 1.1.1 “To increase the research and innovative capacity of scientific institutions of Latvia and th
Lecture Date: July 9, 2018
Chapter: Singapore
Chapter Chair: Hong Cao
Topic: (1) Unconstrained Face Analytics
(2) Domain Adaptation using Manifolds, Dictionaries and Deep Features
Call for Proposals Document
Submission Deadline: May 7, 2018