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Showing posts tagged with Alexa Research

September 04, 2018

Young-Bum Kim

Classifying "domains", or topics of conversation, is so central to natural-language understanding that some systems have modules that just look for out-of-domain utterances. Amazon researchers show that training out-of-domain classifiers together with domain recognizers improves their performance.

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August 31, 2018

Viktor Rozgic

At Interspeech 2018, Amazon scientists report a new system that learns to distinguish sounds produced by media players, such as TVs and radios, from sounds of ordinary household activity, to reduce false positives from Alexa's speech recognizers still further.

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August 29, 2018

Larry Hardesty

Amazon papers at Interspeech 2018 examine ways that interaction histories can improve customers' Alexa experiences, from "collaborative filtering" to infer customers' tastes to methods that use the immediate "context" of a customer's requests to increase the accuracy of speech understanding systems.

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August 27, 2018

Arpit Gupta

Alexa AI machine-learning scientist Chetan Naik and speech scientist Arpit Gupta describe their Interspeech paper on "contextual slot carryover," a crucial element of Alexa's ability to conduct natural, multiround conversations.

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August 24, 2018

Larry Hardesty

3 questions with Björn Hoffmeister, the senior manager for machine learning in the Alexa Automatic Speech Recognition group, about this year's Interspeech conference and research trends in the speech technology field.

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August 23, 2018

Harish Mallidi

At this year's Interspeech, Amazon scientists report a neural network that learns to distinguish speech that's directed at an Echo device from speech that isn't, to enable Alexa to temporarily dispense with wake word repetition.

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August 19, 2018

Larry Hardesty

Two months after Amazon released a dataset containing assertions of fact and Wikipedia data that either substantiate or refute them, preliminary results of a competition to use the dataset to train fact verification systems indicate a 134% improvement over baseline.

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August 13, 2018

Grant Strimel

How a new algorithm for "perfect hashing" enables Amazon scientists to shrink the memory footprint of machine learning models by 94%.

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August 08, 2018

Yuval Merhav

Amazon AI researchers have publicly released a new dataset with transliterations of 400,000 names, to aid the development of systems that can search for data across languages that use different scripts.

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July 23, 2018

Anirudh Raju

An Alexa speech scientist explains how Alexa can dynamically modify the statistical language models underlying her speech recognition systems to improve performance for individual customers in particular contexts.

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July 16, 2018

Bo Xiao

Bo Xiao, a machine learning scientist in the Alexa AI organization, describes his and his colleagues' Interspeech paper about using playback duration to gauge customer affinity for audio content.

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July 02, 2018

Larry Hardesty

The deadline for the 2018 Amazon Research Awards, a grant program that provides up to $80,000 in funding and $20,000 in Amazon Web Services Promotional Credits to academic researchers investigating topics related to machine learning, is September 15. 

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June 08, 2018

Young-Bum Kim

Amazon science leader Young-Bum Kim describes the HypRank neural model, which performs the second step in the two-step process that Alexa uses to select the best skill to handle a given utterance.

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June 07, 2018

Young-Bum Kim

Amazon science leader Young-Bum Kim describes the Shortlister neural model, which performs the first step in the two-step process that Alexa uses to select the best skill to handle a given utterance.

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June 01, 2018

Lambert Mathias

At a computational linguistics conference that begins this weekend, Amazon scientists will present a new, more sophisticated semantic-representation language. Data annotated in the language should enable Alexa skills to handle more sophisticated conversational interactions. 

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