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How to Make Neural Language Models Practical for Speech Recognition
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An automatic-speech-recognition system — such as Alexa’s — converts speech into text, and one of its key components is its language model. Given a sequence ...

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New Alexa Research on Task-Oriented Dialogue Systems
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Earlier this year, at Amazon’s re:MARS conference, Alexa head scientist Rohit Prasad unveiled Alexa Conversations, a new service that allows Alexa skill ...

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Accelerating parallel training of neural nets
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Earlier this year, we reported a speech recognition system trained on a million hours of data, a feat possible through semi-supervised learning, in which ...

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The 16 Alexa-related papers at this year’s Interspeech
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At next week’s Interspeech, the largest conference on the science and technology of spoken-language processing, Alexa researchers have 16 papers, which span ...

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Turning Dialogue Tracking into a Reading Comprehension Problem
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During a conversation between a customer and a dialogue system like Alexa’s, the system must not only understand what the customer is saying currently but ...

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Amazon releases data set of annotated conversations to aid development of socialbots
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Today I am happy to announce the public release of the Topical Chat Dataset, a text-based collection of more than 235,000 utterances (over 4,700,000 words) ...

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How to construct the optimal neural architecture for your machine learning task
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The first step in training a neural network to solve a problem is usually the selection of an architecture: a specification of the number of computational ...

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Amazon Releases New Public Data Set to Help Address “Cocktail Party” Problem
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Amazon today announced the public release of a new data set that will help speech scientists address the difficult problem of separating speech signals in ...

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Tools for generating synthetic data helped bootstrap Alexa’s new-language releases
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In the past few weeks, Amazon announced versions of Alexa in three new languages: Hindi, U.S. Spanish, and Brazilian Portuguese.Like all new-language ...

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The FEVER data set: What doesn’t kill it will make it stronger
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This year at the Conference on Empirical Methods in Natural-Language Processing (EMNLP), we will cohost the Second Workshop on Fact Extraction and ...

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Improving cross-lingual transfer learning by filtering training data
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In the past year, we’ve published several papers demonstrating that a natural-language-understanding model trained in one language, then re-trained in ...

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Alexa at five: Looking back, looking forward
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Today is the fifth anniversary of the launch of the Amazon Echo, so in a talk I gave yesterday at the Web Summit in Lisbon, I looked at how far Alexa has ...

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