Alexa
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Cross-lingual transfer learning for bootstrapping AI systems reduces new-language data requirements
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Transfer learning is the technique of adapting a machine learning model trained on abundant data to a new context in which training data is sparse.On the ...

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Signal processor improves Echo’s bass response, loudness, and speech recognition accuracy
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Multiband dynamics processing, which separately modifies volume in different frequency bands of an audio signal, is known to improve listeners’ audio ...

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Two new papers discuss how Alexa recognizes sounds
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Last year, Amazon announced the beta release of Alexa Guard, a new service that lets customers who are leaving the house instruct their Echo devices to ...

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Using wake word acoustics to filter out background speech improves speech recognition by 15%
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One of the ways that we’re always trying to improve Alexa’s performance is by teaching her to ignore speech that isn’t intended for her.At this year’s ...

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Training Speech Synthesizers on Data from Multiple Speakers Improves Performance, Stability
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When a customer asks Alexa to play “Hey Jude”, and Alexa responds, “Playing 'Hey Jude' by the Beatles,” that response is generated by a text-to-speech (TTS) ...

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“Alexa, Turn Down the Lights and Play Music”: The Science of Handling Compound Requests
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Traditionally, Alexa has interpreted customer requests according to their intents and slots. If you say, “Alexa, play ‘What’s Going On?’ by Marvin Gaye,” ...

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How we add new skills to Alexa’s name-free skill selector
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In the past year, we’ve introduced what we call name-free skill interaction for Alexa. In countries where the service has rolled out, a customer who wants ...

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Training a Machine Learning Model in English Improves Its Performance in Japanese
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Recently, we published a paper showing that training a neural network to do language processing in English, then retraining it in German, drastically ...

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Should Alexa read “2/3” as “two-thirds” or “February Third”?: The science of text normalization
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Text normalization is an important process in conversational AI. If an Alexa customer says, “book me a table at 5:00 p.m.”, the automatic speech recognizer ...

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Using adversarial training to recognize speakers’ emotions
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A person’s tone of voice can tell you a lot about how they’re feeling. Not surprisingly, emotion recognition is an increasingly popular conversational-AI ...

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