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Robust Speech Recognition In Embedded Systems And Pc Applications: The Springer

Jese Leos
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Published in Robust Speech Recognition In Embedded Systems And PC Applications (The Springer International In Engineering And Computer Science 563)
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Speech recognition is a rapidly growing field with a wide range of applications, including voice control, dictation, and language translation. As embedded systems and PC applications become more powerful, the demand for robust speech recognition solutions is increasing.

Robust Speech Recognition in Embedded Systems and PC Applications (The Springer International in Engineering and Computer Science 563)
Robust Speech Recognition in Embedded Systems and PC Applications (The Springer International Series in Engineering and Computer Science Book 563)
by Jean-Claude Junqua

5 out of 5

Language : English
File size : 9367 KB
Print length : 200 pages
Screen Reader : Supported

This book provides a comprehensive overview of the fundamentals of robust speech recognition in embedded systems and PC applications. It covers the latest advancements in speech recognition technology, including deep learning and neural networks. The book also provides detailed guidance on how to implement these technologies in practical applications.

What You Will Learn

By reading this book, you will learn:

* The fundamentals of speech recognition * The different types of speech recognition systems * The latest advancements in speech recognition technology * How to implement speech recognition in embedded systems and PC applications * The challenges and limitations of speech recognition

Who This Book Is For

This book is intended for engineers, researchers, and students who are interested in learning about speech recognition. It is also a valuable resource for anyone who is developing embedded systems or PC applications that use speech recognition.

Table of Contents

to Speech Recognition 2. Types of Speech Recognition Systems 3. The Speech Recognition Process 4. Feature Extraction for Speech Recognition 5. Classification and Modeling for Speech Recognition 6. Advanced Speech Recognition Techniques 7. Implementing Speech Recognition in Embedded Systems 8. Implementing Speech Recognition in PC Applications 9. Challenges and Limitations of Speech Recognition 10.

About the Author

Dr. X is a leading expert in the field of speech recognition. He has over 20 years of experience in developing and deploying speech recognition solutions for embedded systems and PC applications. Dr. X is the author of several books and articles on speech recognition, and he is a frequent speaker at international conferences.

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To Free Download your copy of Robust Speech Recognition In Embedded Systems And Pc Applications: The Springer, please visit the website of your favorite bookseller.

Robust Speech Recognition in Embedded Systems and PC Applications (The Springer International in Engineering and Computer Science 563)
Robust Speech Recognition in Embedded Systems and PC Applications (The Springer International Series in Engineering and Computer Science Book 563)
by Jean-Claude Junqua

5 out of 5

Language : English
File size : 9367 KB
Print length : 200 pages
Screen Reader : Supported
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The book was found!
Robust Speech Recognition in Embedded Systems and PC Applications (The Springer International in Engineering and Computer Science 563)
Robust Speech Recognition in Embedded Systems and PC Applications (The Springer International Series in Engineering and Computer Science Book 563)
by Jean-Claude Junqua

5 out of 5

Language : English
File size : 9367 KB
Print length : 200 pages
Screen Reader : Supported
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