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.
We would like to draw your attention to the JSALT summer workshop being held at CMU this summer. To help you keep abreast of the developments at the workshop, we have provided relevant links in the related article below.
This issue also includes a review of the 2017 ICASSP held at New Orleans and the announcement of the creation of Yajie Miao Memorial Student student travel grant.
This newsletter is an ideal forum for updates, reports, announcements and editorials which don't fit well with traditional journals. We welcome your contributions, as well as calls for papers, job announcements, comments and suggestions. You can submit job postings here, and contact the TC via this form, or send mail to firstname.lastname@example.org propose articles.
To subscribe to the Newsletter, send an email with the command "subscribe speechnewsdist" in the message body email@example.com(link sends e-mail).
Izhak Shafran, Editor-in-Chief
Andrew Rosenberg, Editor
As many readers might already know, Yajie Miao, a PhD student at Carnegie Mellon’s Language Technology Institute, successfully defended his thesis on “Incorporating Context Information into Deep Neural Network Acoustic Models” in August 2016.
As every year, this past November saw the election of new members to the Speech and Language Technical Committee to take the places of those whose 3-year terms are coming to an end. SLTC membership is grouped by subject area, and in this year’s election (for the 2017-2019 term) we had 17 openings in 8 areas. Current members are eligible to run for a consecutive term once.
This welcome message marks the start of the new year and comes at the tail end of a several months long busy period of the SLTC. First of all, there is the yearly election cycle, carefully administered by our election sub-committee. Please join me in thanking 12 member who retired their position at the end of 2016: Tomoki Toda, Gernot Kubin, Maurizio Omologo, Nicholas Evans, Larry Heck, Peder Olsen, Frank Seide, Mark Hasegawa-Johnson, Deep Sen, Svetlana Stoyanchev, Jasha Droppo and George Saon. And please join me in welcoming the class of 2019.
Following on the success of the bi-annual SLT workshop over the past decade, the IEEE Speech and Language Technical Committee invites proposals to host the 2018 IEEE Workshop on Spoken Language Technology (SLT-2018). Past SLT workshops have fostered a collegiate atmosphere through a thoughtful selection of venues, thus offering a unique opportunity for researchers to interact and learn.
The IEEE Spoken Language Technology Workshop series focuses on promoting the progress made on the different fields of speech and language technologies and their impact on human life. The Speech and Language Technical Committee has the pleasure to announce San Juan, Puerto Rico as the venue for the next SLT 2016 from Dec 13-16. Puerto Rico, located in the Caribbean, is an amazing location and is easily accessible from the US and other parts of the world.
Shanghainese, also known as the Shanghai or Hu dialect, is a form of Wu dialect spoken in the central districts of Shanghai and in the surrounding region. Wu speakers represented about 8% of the total Chinese population by 1984. Shanghainese is a proper representative dialect of Northern Wu and in English "Shanghainese" sometimes refers to all Wu dialects. With nearly 14 million speakers, it is also the largest single form of Wu Chinese. Shanghainese, like other Wu dialects, is largely unintelligible with other varieties of Chinese such as Mandarin.
The Automatic Speech Recognition and Understanding Workshop (ASRU) was recently hosted in Scottsdale, Arizona from December 9-13, 2015. The conference included lectures and poster sessions in a variety of speech and signal processing areas. The Best Paper award was given to Suman Ravuri of UC Berkley for his paper "Hybrid DNN-Latent Structured SVM Acoustic models for Continuous Speech Recognition". In this article, we go through the main themes during each day.
The twenty ninth Conference on Neural Information Processing Systems (NIPS), a single track machine learning and computational neuroscience conference, was held in Montreal, during a relatively balmy winter week, spanning December 7th to 12th. The conference saw a record number of attendees. As illustrated in the graph, during the last 14 years, there has been a steady increase in the number of attendees in all three categories -- tutorials, conference, and workshops; and biggest growth this year was in tutorials where the attendance doubled compared to the previous year!
Craig S. Greenberg, Désiré Bansé, John M. Howard, Alvin F. Martin, George R. Doddington, Audrey Tong, Daniel Garcia-Romero, Jaime Hernández-Cordero, Lisa P Mason, Alan McCree, Douglas A Reynolds, Elliot Singer
IEEE Signal Processing Society Launching Webinar Series:
The IEEE Signal Processing Society is pleased to bring you a new webinar series featuring technical innovations and their applications in signal processing from top presenters and thought leaders from academia and industry. The inaugural webinar will be led by Prof. Vikram Krishnamurthy from Cornell University and will feature the topic of Digital Signaling: Interacting Sensors and Social Networks, which will discuss how humans interact with social networks based on their sensor input information. This intriguing webinar will delve into the following areas: the realization that humans can be considered as social sensors who input information into a social network; the challenges being faced from a statistical signal processing viewpoint; concerns over privacy as social sensors are able to reveal quantized decisions such as “ratings” and “recommendations”; and acknowledging that social sensors are risk-averse decisionmakers.
Be one of the first attendees to join this free inaugural webinar on October 17, 2017 from 11 am to 12 pm EST, presented by Vikram Krishnamurthy, Professor Electrical and Computer Engineering at Cornell University at the following registration link:
How Walmart is using machine learning, AI, IoT and big data to boost retail performance: