Are you intrigued by how speech recognition is driving the growth of the AI market? This course is a reliable guide if you’re looking to pursue a career as a speech recognition professional and understand industry best practices. You’ll learn the science of applying machine learning algorithms to process large amounts of speech data. As you progress, the course will get you up to speed with automated speech recognition. Later, you’ll delve into speech translation, understanding how to work through speech-to-speech translation. Toward the concluding sections, you’ll focus on voice conversion, exploring everything from Phonetic SID System to speaker identification. Throughout the course, you’ll encounter practice questions to help you reinforce your knowledge.
By the end of this course, you’ll be well-versed with speech recognition and be able to apply what you’ve learned in the real world.
The resources for this course are available at https://github.com/PacktPublishing/Speech-Recognition-A-Z-with-Hands-on
Develop the skills you need to become a speech recognition professional
Get to grips with digitizing and recording speech signals
Discover how to build a natural language model
Understand the problem statement of converting speech to text
Work through speech-to-speech translation
Create a speech recognition project