I was originally going to get an MS in databases at UPenn. However, I took a course in NLP taught by Aravind Joshi, Bonnie Webber, and Barbara Grosz, who was visiting Penn that term. I thought it was the coolest topic I’d ever encountered and decided to come back and get a PhD in NLP. Luckily for me, Penn was very open to people coming from different backgrounds (mine being a PhD in 16th century Mexican history) and thought this was an advantage rather than a limitation.
The Member Election Subcommittee of the SLTC is seeking nominations for new SLTC Members for a 3-year term (2018-2020). Nominations should be submitted by filling out the web form at https://www.icsi.berkeley.edu/icsi/ieee_form.
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.
SPS Announces 2018 Class of Distinguished Lecturers, the Signal Processing Data Science Distinguished Lecturer and the New Distinguished Industry Speaker Program.
Image, Video, and Multidimensional Signal Processing Technical Committee (IVMSP TC) promotes and guides the advancement of the field of image, video, and multidimensional signal processing.
Professor Jose M. F. Moura, IEEE Life Fellow, has been elected as the 2018 IEEE President-Elect. Pending acceptance of the IEEE Tellers’ Committee report by the IEEE Board of Directors on 19-20 November. Moura will begin serving as IEEE President on 1 January 2019.
In this issue, we would like to pont to two online courses available via www.edx.org:
1) Sparse Representations in Signal and Image Processing: Fundamentals (https://www.edx.org/course/sparse-representations-signal-image-israelx-236862-1x)
We would like to highlight the second edition of "Time-Frequency Signal Analysis and Processing: A Comprehensive Reference" (https://www.elsevier.com/books/time-frequency-signal-analysis-and-processing/boashash/978-0-12-398499-9) by Professor Boualem Boashash.
Alterations in brain development during infancy may precede the behavioral manifestation of developmental disorders. Infants at increased risk for autism are also at increased risk for other developmental disorders, including, quite commonly, language disorders. In this paper, the authors assess the extent to which electroencephalographic (EEG) signal differences in infants at high versus low familial risk for autism are present by 3 months of age, and elucidate the functional significance of EEG power at 3 months in predicting later development.