Overview
-
Learn how to use Microsoft Cognitive Services to embed AI in your applications. This course covers the speech APIs for text translation, text to speech, and speaker recognition.
Syllabus
-
Introduction
- Welcome
- What you should know
- How to use the exercise files
- Introduction
- Set up a Node.js project
- Add TypeScript debugging support
- Add helper code and debugging
- Set up a project
- Set up Translate Text API in Azure and update a project
- Write code for getting supported languages
- Get supported languages running and refactor the code
- Get supported languages using an access token
- Get supported languages using access token
- Get language names
- Write code for translating between langauges
- Translations between multiple languages
- Break apart longer sentences
- Translate lots of content using TranslateArray
- Get languages for Speak
- Performing Text-to-Speech
- Set up a project and register Bing Speech in Azure
- Speech to Text
- Get an access token for Text-to-Speech
- Bing Speech Text-to-Speech
- The theory behind speaker recognition
- Register speaker recognition API in Azure and update the project
- Write business objects
- Craft up the structure of identification helper class
- Write code to create and delete identification profiles
- Write code for enrollment
- Write code for speaker identification
- Enrolling the first user
- Enrolling the second user
- Identifying speakers
- Delete identification profiles
- Next steps
