Category Archives: Track A

KEYNOTE PANEL – The Future of Conversational Robots

KEYNOTE – Wednesday 26 April 
09:00 – 10:00

Amazon Echo, Google Home, and the Jibo social robots promise to enable users to perform many useful tasks, including control devices connected with the internet such as home appliances and industrial robots; educate and train users with self-improvement activities; entertain users with passive and active games and activities; perform transactions such as pay bills; shop for goods and services; solve problems such as diagnose illnesses; debug and repair products; calculate taxes; mediate conflicts; and protect and secure home and business. This panel begins with short demonstrations of products, followed by a discussion of issues such as these: What is a conversational robot and how do they differ from other current interactive technologies? What capabilities do conversational robots have beyond just searching the web, answering questions, and presenting information? How can you replace negative perceptions of robots with positive insights? What technologies, tools, and standards will to enable widespread creation and distribution of content for conversational robots?

Presented by: Leor Grebler, Sunil Vemuri, Roberto Pieraccini

A301: Speech Analysis Detects Early-Stage Diseases

Track A: INNOVATIVE USES OF ASR – Wednesday 26 April 
10:45 – 11:30

It is remarkably difficult to detect Alzheimer’s and other diseases early enough to do anything about them. Canary Speech and Cobalt Speech and Language have joined forces to develop the speech recognition technologies for these applications. Learn how ASR is being developed to detect early signs of Alzheimer’s and other diseases while using the unique business model developed by two companies.

Presented by: Jeff Adams

A302: Speech Technology for Augmenting Language Learning Experiences

Track A: INNOVATIVE USES OF ASR – Wednesday 26 April 
11:45 – 12:30

Gaining language proficiency in learning oral skills without an instructor can be difficult. We present some practical issues surrounding the creation of computer-assisted language learning software incorporating speech technology and describe how breaking down oral language instruction into machine-solvable problems allows speech interfaces to play the role of instructor. We also discuss how to provide computer-generated feedback for pronunciation training. A tight interplay between UI/UX design and core speech technology is key to creating immersive speech experiences for users.

Presented by: Emily Soward