AWS Machine Learning Blog

Category: Artificial Intelligence

Build Your Own Text-to-Speech Applications with Amazon Polly

In general, speech synthesis isn’t easy.  You can’t just assume that when an application reads each letter of a sentence the output will make sense. A few common challenges for text-to-speech applications include: Words that are written the same way, but that are pronounced differently: I live in Las Vegas. vs. This presentation broadcasts live […]

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AI Tech Talk: How to Get the Most Out of Amazon Polly, a Text-to-Speech Service

Although there are many ways to optimize the speech generated by Amazon Polly‘s text-to-speech voices, new customers may find it challenging to quickly learn how to apply the most effective enhancements in each situation. The objective of this webinar is to educate customers about all of the ways in which they can modify the speech […]

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Use Amazon Rekognition to Build an End-to-End Serverless Photo Recognition System

Imagine you work for a marketing agency that has tens of thousands of stock images. You find that many images don’t have descriptive file names and others are completely mislabeled. You don’t want to spend hours and hours relabeling them and moving them around to different folders. But what if you could find the images […]

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AI Tech Talk: Introducing Amazon Lex – A Service for Building Voice or Text Chatbots

Amazon Lex is a service for building conversational interfaces into any application using voice and text. Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user […]

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Building Better Bots Using Amazon Lex (Part 2)

In Part 1 we reviewed some elementary bot design considerations, built the Amazon Lex CoffeeBot chatbot, and used the Amazon Lex Test console to confirm that CoffeeBot reacted to text input as expected.  In this post, we make some more design decisions to take CoffeeBot to the next level, including voice interaction. Note: The code […]

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Building Better Bots Using Amazon Lex (Part 1)

As Jeff Barr showed in his introductory blog post, Amazon Lex is a service that allows developers to build conversational interfaces for voice and text into applications. With Amazon Lex, the same deep learning technologies that power Amazon Alexa are now available to any developer, so you can quickly and easily build sophisticated, natural language […]

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AI Tech Talk: An Overview of AI on the AWS Platform

AWS offers a family of intelligent services that provide cloud-native machine learning and deep learning technologies to address your different use cases and needs. For developers looking to add managed AI services to their applications, AWS brings natural language understanding (NLU) and automatic speech recognition (ASR) with Amazon Lex, visual search and image recognition with […]

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AWS Podcast #175: Artificial Intelligence with Dr. Matt Wood

Dr. Matt Wood is the GM of Artificial Intelligence at AWS I sat down with Simon Elisha from the AWS Podcast to talk about the emerging world of artificial intelligence. In addition to speaking about Amazon Lex, Amazon Polly, Amazon Rekognition, and Apache MXNet, we also do a little reminiscing about days gone by. Listen now on SoundCloud Like the […]

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Classify a Large Number of Images with Amazon Rekognition and AWS Batch

Amazon Rekognition, one of the first AWS AI services, makes it easy to quickly add sophisticated deep-learning-based visual search and image classification to your applications. With the Rekognition API, you can detect objects, scenes, and faces in images, and search and compare faces. Many AWS customers who have images stored in S3 want to query […]

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