Similar to the other services we’ve worked with, we need to instantiate a Polly Client through Boto3 to access the API calls we will be working with.Some of the student's feedback who have found this course useful Need to give user access key and secret access key credentials to configure CLI/SDK on your machine. Identity Access and Management (IAM): This Lets you manage access to AWS services through permissions and roles. For this article’s example, we will be working with Boto3, the Python SDK. Check out my article for an introduction to the AWS SDK. Check out my article for an introduction to the AWS CLI.ĪWS SDK: Available in Python, JS, Java, Go, and more to work with AWS in the programming language of your choice. Table of ContentsĪWS CLI: To work with AWS resources and services you can use the CLI they provide rather than the Console for easy access. If you’re already familiar with these services, feel free to skip ahead to the parts you’re interested in. I’ll also provide a list of services we’ll be using along with more in-depth definitions.

Make sure to also have the AWS CLI installed to work with the example. NOTE: For those of you new to AWS (it’s good to have some experience to fully understand the article), make sure you make an account at the following link if you want to follow along. For this article, we’ll explore how to make simple yet powerful API calls using the Boto3 Python SDK to interact with Polly.

This article is a continuation of the Auto-ML on AWS series, check out the Rekognition, Comprehend, and Translate articles for the first three parts. Polly currently supports 47 different voices across 24 languages for speech. Adding Text to Speech functionality to your application can be very taxing if you do not have proficiency in Deep Learning theory and frameworks.įor this article, we will explore how Amazon Polly can help automate this task by using advanced Deep Learning under the hood to synthesize speech from the text that we provide as input. From having capabilities of building custom ML pipelines in SageMaker to a versatile set of AutoML services, options to deploy and tackle ML problems are limitless. Amazon’s suite of ML services is constantly expanding.

Amazon polly text to speech free