The last few years have witnessed a tremendous growth of the demand for wireless services and a significant increase of the number of mobile subscribers. A recent data traffic forecast from Cisco reported that the global mobile data traffic reached 1.2 zettabytes per year in 2016, and the global IP traffic will increase nearly threefold over the next 5 years. Based on these predictions, a 127-fold increase of the IP traffic is expected from 2005 to 2021. It is also anticipated that the mobile data traffic will reach 3.3 zettabytes per year by 2021, and that the number of mobile-connected devices will reach 3.5 per capita.
With such demands for higher data rates and for better quality of service (QoS), fifth generation (5G) standardization initiatives, whose initial phase was specified in June 2018 under the umbrella of Long Term Evolution (LTE) Release 15, have been under vibrant investigation. In particular, the International Telecommunication Union (ITU) has identified three usage scenarios (service categories) for 5G wireless networks: (i) enhanced mobile broadband (eMBB), (ii) ultra-reliable and low latency communications (uRLLC), and (iii) massive machine type communications (mMTC). The vast variety of applications for beyond 5G wireless networks has motivated the necessity of novel and more flexible physical layer (PHY) technologies, which are capable of providing higher spectral and energy efficiencies, as well as reduced transceiver implementations.
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10 years of news and resources for members of the IEEE Signal Processing Society
Published in TC News on 1 January 2015
by Florian Metze (Reposted from the SLTC Newsletter)
Welcome to the Winter 2014 edition of the IEEE Speech and Language Processing Technical Committee's Newsletter! This issue of the newsletter includes 8 articles and announcements from 10 contributors, including our own staff reporters and editors. Thank you all for your contributions! This issue includes news about IEEE journals and recent workshops, SLTC call for nominations, and individual contributions.
We believe the 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 reach us at speechnewseds [at] listserv (dot) ieee [dot] org.
To subscribe to the Newsletter, send an email with the command "subscribe speechnewsdist" in the message body to listserv [at] listserv (dot) ieee [dot] org.
Florian Metze, Editor-in-chief
William Campbell, Editor
Haizhou Li, Editor
Patrick Nguyen, Editor
From the SLTC and IEEE
CFPs, Jobs, and Announcements
Edited by William Campbell
Edited by William Campbell
ASRU 2015 welcomes proposals for challenge tasks. In a challenge task, participants compete or collaborate to accomplish a common or shared task. The results of the challenge will be presented at the ASRU workshop event in the form of papers reporting the achievements of the participants, individually and/or as a whole. We invite organizers to concretely propose such challenge tasks in the form of a 1-2 page proposal.
JOHN H. L. HANSEN AND MURAT AKBACAK
On behalf of the IEEE SLT-2014 organizing committee, we welcome you to the 2014 IEEE Workshop on Spoken Language Technology (SLT) in South Lake Tahoe, Nevada December 7-10, 2014. This is the fifth biannual SLT workshop – which first began in Aruba (2006), then Goa, India (2008), Berkeley, California (USA) (2010), and most recently Miami, Florida (USA) (2012). This year we will be hosting the IEEE SLT in South Lake Tahoe at the Harvey’s Lake Tahoe Resort, with beautiful views of Lake Tahoe and minutes from Heavenly Valley Ski area. The SLT-2014 Organizing Committee has worked extensively on all aspects of the technical and social programs, and we promise this to be a memorable experience with an outstanding collection of quality papers and talks, along with the breathtaking location of Lake Tahoe.
TARA N. SAINATH
The 15th Interspeech Conference was recently hosted in Singapore from September 14-18th, 2014. In this article, we highlight a few interesting papers and themes from the conference.
FIL ALLEVA AND MICHAEL TJALVE
Cortana is the most personal assistant who learns about her user to provide a truly personalized experience. Behind the scenes, there's a wide range of speech and language technology components which make the natural interaction with Cortana possible. Personalization of the speech experience happens seamlessly while the user simply experiences better speech recognition accuracy and a more natural interface. Here are a few examples of recent research from our labs.
The Spectrogram Inversion Toolbox allows one to create spectrograms from audio, and, more importantly, estimate the audio that generates any given spectrogram. This is useful because often one wants to think about, and modify sounds in the spectrogram domain.
JASON D. WILLIAMS
The aim of this special issue is to provide a forum for in-depth, journal-level work on dialogue state tracking. This issue welcomes papers covering any topic relevant to dialogue state tracking.
HUGO VAN HAMME
We would like to invite you to attend our one-day workshop on "assistive speech and signal processing" which we are organising on Monday 24 November 2014 in Leuven, Belgium. Information about program and registration can be found here.
The development of automatic speech recognition able to perform well across a variety of acoustic environments and recording scenarios on natural conversational speech is a holy grail of the speech research community. Previous work in the literature has shown that automatic speech recognition (ASR) performance degrades on microphone recordings especially when data used for training is mismatched with data used in testing. IARPA is announcing a challenge, with monetary awards, to develop approaches to mitigate the effects of these conditions. Participants will have the opportunity to evaluate their techniques on a common set of challenging data that includes significant room noise and reverberation.
MediaEval is a benchmarking initiative dedicated to developing and evaluating new algorithms and technologies for multimedia access and retrieval. It offers tasks to the research community that related to human and social aspects of multimedia. MediaEval is now calling for proposals for tasks to run in the 2015 benchmarking season. The proposal consists of a description of the motivation for the task, and challenges that task participants must address, as well as information on the data and evaluation methodology to be used. The proposal also includes a statement of how the task is related to MediaEval (i.e., its human or social component), and how it extends the state of the art in an area related to multimedia indexing, search or other technologies that support users in access multimedia collections.
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