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September 25, 2014

Mtg: Intelligent Personal Assistants and Signal Processing Challenges

by @ 3:34 pm. Filed under ALL, Communications, Computers/Software

WEDNESDAY November 12, 2014
SCV Signal Processing Chapter
– Siri, Cortana, spoken dialog, speech recognizer, actions …
Speaker: Dr. Asli Celikyilmaz, Senior Scientist, Natural Language Understanding, Microsoft
Time: Networking and light dinner at 6:30 PM; Presentation at 7:00 PM
Cost: donation accepted for food
Place: AMD Commons Theater, 991 Stewart Dr., Sunnyvale
RSVP: from website, for visitor badge

Following the rapid proliferation of mobile devices, especially smart phones, multimodal virtual personal assistant (VPA) applications such as Apple Siri, Microsoft Cortana and google Now started to emerge.  With the advances in speech recognition, language understanding, and machine learning coupled with client-side capabilities coming with larger screens that enable multi-touch displays and server-side capabilities based on cloud computing, these applications have begun to move beyond conventional simple command/control based speech applications.  One of the core technologies in a VPA system is understanding what the users are saying, called as spoken language understanding (SLU).  In the last decade, a variety of practical goal-oriented spoken dialog systems have been built for limited domains, employing “targeted” SLU capabilities.  Given an utterance, SLU in dialog systems extracts predefined semantic information from the output of an automatic speech recognizer (ASR).  This semantic information usually contains the intent of the user and associated arguments (slots), matching the back-end capabilities.  The dialog manager (DM) then determines the next machine action given the SLU output.  In this talk I highlight some of the technical challenges and research efforts for multimodal virtual personal assistant applications, especially focusing on spoken language understanding and dialog aspects, pointing out issues and opportunities in this area.


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