Speech Recognition A-Z with Hands-On

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

Type
video
Category
Data
publication date
2020-08-27
what you will learn

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

duration
316
key features
Understand what speech processing is and explore the different types of speech recognition * Explore the complexities of speech recognition * Understand the difference between acoustic phonetics and articulatory phonetics
approach
This is a hands-on course to help you develop the skills you need to become a speech recognition professional. It features plenty of practical examples and practice questions to ensure you learn easily.
audience
This course is for data analysts, data scientists, machine learning engineers, deep learning engineers, or anyone with basic knowledge of data analysis who has experience in creating models using machine learning.
meta description
Get to grips with speech recognition, one of the most advanced and promising branches in artificial intelligence and machine learning
short description
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.
subtitle
Get to grips with speech recognition, one of the most advanced and promising branches in artificial intelligence and machine learning
keywords
Natural Language Processing, NLP, Speech Recognition, Speech to Text
Product ISBN
9781800561700