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Issue Date:
Section: Community & Involvement
Welcome to the IEEE Speech and Language Processing Technical Committee's Newsletter!
This issue features the next installment of our regular column, "Getting to Know Your Fellow Researchers", highlighting Douglas O'Shaughnessy, who is a Professor at INRS-Télécommunications (University of Quebec) in Montreal, Canada and the author of the textbook Speech Communications: Human and Machine (IEEE Press, 2000). He has contributed immensely to the IEEE society for a number of years now.
Section: Events
Lecture Date: November 17, 2017
Chapter: France
Chapter Chair: William Puech
Topic: Data Fusion through Matrix and Tensor Decompositions:
Diversity, Identifiability, and Interpretability
The internship program at Mitsubishi Electric Research Laboratories (MERL) gives students excellent opportunities to work in an industrial research lab environment side-by-side with world-class researchers. This program emphasizes close collaboration with a particular researcher or members of a small team. MERL considers graduate students from all over the world. As many of our projects benefit from specialized knowledge in a given field, graduate students pursuing a Ph.D. typically fill the majority of internship openings.
Issue Date:
Section: Community & Involvement
IVMSP TC Update
Section: Events
Publication: IEEE Signal Processing Magazine
White Paper Due: January 10, 2018
Publication Date: January 2019
CFP Document
Section: Publications & Resources
SPS Announces 2018 Class of Distinguished Lecturers, the Signal Processing Data Science Distinguished Lecturer and the New Distinguished Industry Speaker Program.
Section: Publications & Resources
University of Washington researchers have created the first publicly available dataset of labeled classical music, named MusicNet. MusicNet is a collection of 330 freely-licensed classical music recordings, together with over 1 million annotated labels indicating the precise time of each note in every recording, the instrument that plays each note, and the note's position in the metrical structure of the composition
Section: Publications & Resources
A.N. Akansu, S.R. Kulkarni and D.M. Malioutov, Eds., Financial Signal Processing and Machine Learning
ISBN: 978-1-118-74567-0
URL: http://www.wiley.com/WileyCDA/WileyTitle/productCd-1118745671.html
Description
The modern financial industry has been required to deal with large and diverse portfolios in a variety of asset classes often with limited market data available.
Section: Publications & Resources
For our January 2017 issue, we cover recent patents granted in the area of emotion recognition. The below patents deal with hardware and software components of up-to-date emotion analysis systems, and various applications of the latest technological developments.
Section: Publications & Resources
Several interesting machine learning and signal processing contests have are currently active, including among others the a nature conservancy challenge aimed at monitoring of fisheries and a challenge focusing on satellite imagery feature detection.
