Azure AI Speech: Text-to-Speech & Speech-to-Text with Docker

This course contains the use of artificial intelligence.

Audio and some images in this course have been generated using AI.

Learn Azure AI Speech Efficiently in Just 40 Minutes

With the rapid advancement of AI, many companies now provide speech AI services, leading to a growing number of applications and content powered by speech technologies.

However, the quality of these services varies significantly, and many require installing SDKs, managing dependencies, and writing code before you can even get started.

Azure AI Speech, also known as Azure Speech Service, is widely recognized for its high-quality Text-to-Speech (TTS) and Speech-to-Text (STT) capabilities.

In this course, you'll learn how to use Azure AI Speech through Docker containers, allowing you to run the service without writing application code or installing SDK dependencies. In just about 40 minutes, you'll gain practical knowledge that enables you to start using Azure AI Speech quickly and efficiently.

Beyond the basics, you'll also learn how to:

• Improve Speech-to-Text accuracy using Phrase Lists.

• Generate natural-sounding speech by selecting voices from the Azure Voice Gallery.

• Convert speech to text and text to speech using simple Azure Speech CLI commands.

No prior knowledge of Docker, containers, or Microsoft Azure is required.

The course includes step-by-step instructions for both Windows and Linux environments, making it easy to follow regardless of your operating system.

By learning how to run Azure AI Speech in containers, you'll also build a solid foundation for deploying speech services in container orchestration platforms such as Kubernetes and OpenShift.

As an added feature, the narration used throughout this course is generated using Azure AI Speech itself, giving you the opportunity to experience the quality of the Text-to-Speech voices firsthand.

By the end of this course, you will be able to:

• Create a free-tier Azure AI Speech resource.

• Run Azure AI Speech using Docker containers.

• Convert audio files into text (Speech-to-Text).

• Convert text into a natural-sounding audio file (Text-to-Speech).

• Improve Speech-to-Text accuracy with Phrase Lists.

• Choose the most appropriate voice from the Azure Voice Gallery for your use case.

• Build a foundation for using Azure AI Speech in Kubernetes and OpenShift environments.

Whether you're a developer, AI enthusiast, or IT professional looking for a quick and practical introduction to Azure AI Speech, this course will help you get up and running in less than an hour.

Let's get started!