You don't have to be a math whiz to use machine learning to convert text to a natural-sounding voice. Using Azure Cognitive Services' text to speech service, developers can build features that convert text to speech by simply invoking an API method!
Artificial intelligence has come a long way. Machine learning is being applied across many different verticals. Traditionally, machine learning has been reserved only for statisticians, mathematicians, and scientists. Azure Cognitive Services is a suite of services that allow normal human beings to leverage AI to solve complex problems. One of those problems is building speech patterns that don't sound like a monotonic robot.
The text to speech service is a service inside of Azure Cognitive Services allows developers to use human-like voices across a wide variety of contexts such as audiobooks, video games, accessibility features and more.
In this course, Azure Cognitive Services: Custom Text to Speech, you will learn how to leverage this powerful service to convert text to speech with human-sounding voices.
You will learn how to get started with text to speech by setting up an account, use the REST API to invoke API calls to interact with text to speech, convert text to speech and then see a real example of a great use case for this technology.
When you are finished with this course, you will have the skills and knowledge to integrate a text to speech feature in a wide range of programming languages using a natural human voice but generated with artificial intelligence!
Course Overview [Autogenerated] Hi, everyone. My name is Adam Bertram and welcome to my course Microsoft Cognitive Services. Azure Custom text to speech. I'm in Microsoft, N V P. And founder of the Tech Community Tech Snips. Leveraging a cloud service like azure cognitive services, you're now able to create a purely custom voice that sounds like anyone, even you, that you can apply across a wide range of contexts. This courses an introduction to the Adder Cognitive Services text speech, FBI, where we'll go in depth on using the arrest FBI to interact with this service and to eventually build our own custom voice from scratch. Some of the major topics that we will cover include setting up an azure speech services account, getting familiar with speech synthesis, markup language or what's commonly known as S. SML. Also convert Texas Beach using standard voices, and that finally will cover creating your own custom voice from scratch. By the end of this course, you'll have the knowledge to get started with Agarkar, Native Services Texas speech feature, and to begin using the programming language of your choice to create applications that seamlessly turned text to speech. I hope you'll draw me on this journey to learn how to convert text to speech and azure with Microsoft Cognitive Services. Azure Custom Texas Speech at floral site.