AWS Machine Learning Blog

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 […]

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 […]

Updated AWS CloudFormation Deep Learning Template Adds New Features and Capabilities

Listen to this post Voiced by Amazon Polly AWS CloudFormation, which creates and configures Amazon Web Services resources with a template, simplifies the process of setting up a distributed deep learning cluster. The AWS CloudFormation Deep Learning template uses the latest updated Amazon Deep Learning AMI (which provides Apache MXNet, TensorFlow, Caffe, Theano, Torch, and CNTK […]

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

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. 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 […]

AWS Collaborates With the National Science Foundation to Foster Innovation

Listen to this post Voiced by Amazon Polly Amazon Web Services and the National Science Foundation (NSF) are collaborating to foster innovation in big data research. Under the AWS Research Initiative (ARI) program, AWS and NSF will respectively support innovative research in the field of Big Data. With the advancements of techniques and technologies such […]

Month in Review: February 2017

The AWS AI Blog launched in February! Take a look at our summaries below and learn, comment, and share. Thanks for reading! NEW POSTS Welcome to the New AWS AI Blog! If you ask 100 people for the definition of “artificial intelligence,” you’ll get at least 100 answers, if not more. At AWS, we define […]

Predicting Customer Churn with Amazon Machine Learning

Note: This post has a companion talk that was delivered at AWS re:Invent 2016. Losing customers is costly for any business. Identifying unhappy customers early on gives you a chance to offer them incentives to stay. This post describes using machine learning (ML) for the automated identification of unhappy customers, also known as customer churn […]

Deep Learning AMI release v2.0 now Available for Amazon Linux

Listen to this post Voiced by Amazon Polly You can now use upgraded versions of Apache MXNet, TensorFlow, CNTK, and Caffe, on the AWS Deep Learning AMI v2.0 for Amazon Linux, including Keras, available in the AWS Marketplace. The Deep Learning AMI v2.0 for Amazon Linux is designed to continue to provide a stable, secure, […]

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 […]

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 […]