How we build with and for people with disabilities

Editor’s note: Today is Global Accessibility Awareness Day. We’re also sharing how we’re making education more accessibleand launching a newAndroid accessibility feature. Over the past nine years, my job has focused on building accessible products and supporting Googlers with disabilities. Along the way, I’ve been constantly reminded of how vast

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Shared by Google AI Technology May 19, 2022

Use Amazon Lex to capture street addresses

Amazon Lex provides automatic speech recognition (ASR) and natural language understanding (NLU) technologies to transcribe user input, identify the nature of their request, and efficiently manage conversations. Lex lets you create sophisticated conversations, streamline your user experience to improve customer satisfaction (CSAT) scores, and increase containment in your contact centers.

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Shared by AWS Machine Learning May 18, 2022

Customize pronunciation using lexicons in Amazon Polly

Amazon Polly is a text-to-speech service that uses advanced deep learning technologies to synthesize natural-sounding human speech. It is used in a variety of use cases, such as contact center systems, delivering conversational user experiences with human-like voices for automated real-time status check, automated account and billing inquiries, and by

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Shared by AWS Machine Learning May 17, 2022

How do pilots ensure knowledge is reused?

One of the biggest challenges is knowledge re-use. How does the aviation industry address this challenge? Image from wikimedia commons I often refer to aviation as a successful example of knowledge management, with lessons captured from every accident and incident and provided to pilots in the form of checklists, or

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Shared by Nick Milton May 16, 2022

Enhance the caller experience with hints in Amazon Lex

We understand speech input better if we have some background on the topic of conversation. Consider a customer service agent at an auto parts wholesaler helping with orders. If the agent knows that the customer is looking for tires, they’re more likely to recognize responses (for example, “Michelin”) on the

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Shared by AWS Machine Learning May 14, 2022