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Showing posts tagged with Alexa Science

May 11, 2018

Jun Yang

Amazon scientist Jun Yang recently published and presented her work on a multilayer echo cancellation and voice enhancement processing system that can significantly improve smart speaker automatic speech recognition and full duplex voice communication performance.

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May 04, 2018

Arpit Mittal

Researchers from Amazon and the University of Sheffield are making a large-scale fact extraction dataset publicly available for the first time, and organizing a machine-learning competition for academic and industry researchers to tackle the problem. 

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April 25, 2018

Ruhi Sarikaya

Alexa scientists and engineers are on a multi-year journey to fundamentally change human-computer interaction. Skills arbitration, context carryover and a new memory feature are early instances of a class of work to make engaging with Alexa more friction-free. 

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April 12, 2018

Minhua Wu

The first step in providing a great customer experience with an Alexa-enabled device is wake word detection. Next week, at the IEEE International Conference on Acoustics, Speech and Signal Processing, Amazon scientists will present two new techniques that improve wake word performance.

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April 10, 2018

Roland Maas

Just as Alexa can wake up without the need to press a button, it also automatically detects when a user finishes a query and expects a response. Amazon scientists next week will present a new approach to an end-of-utterance detection system.

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February 01, 2018

Ashwin Ram

Alexa_Prize_Banner.png

I’m pleased today to announce the 2018 teams selected to compete for the Alexa Prize, a $3.5 million university challenge to advance conversational AI.

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November 28, 2017

Ashwin Ram

We are excited to announce the winners of the 2017 Alexa Prize. Registration for 2018 competition begins December 4.

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August 29, 2017

Ashwin Ram

Lets_Chat_Blog_Banner.png

We’ve hit another milestone in the Alexa Prize, a $2.5 million university competition to advance conversational AI.

 

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