Speech Recognition A-Z with Hands-On

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.

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

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.

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.

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

https://github.com/packtpublishing/speech-recognition-a-z-with-hands-on

Learnkart understands the importance of upskilling and its impact on you. They pride themselves in creating specialized e-learning courses that will not only prepare you for certification exams but also help you gain hands-on knowledge for real-world applications. Thousands of students have developed their skills with Learnkart through a variety of courses, such as PgMP, Risk Management Professional (RMP), speech recognition, Python, Amazon Web Services (AWS), and more. Learnkart regularly adds courses to its portfolio to lend more value to your learning experience.

1. Speech and its Types

2. Automated Speech Recognition

3. Speech to Text

4. Text to Speech

5. Multilingual Speech Processing

6. Speech Translation

7. Spoken Dialog System

8. Voice Conversion