Practical Speech Recognition Basics

Author: Wang Bingsi
Publisher:
Publish Date: 2005-01-01
Features: This book starts from the basic theory of speech recognition, with a focus on bridging theory and practice, and explains the key technologies in the internationally newest and most cutting-edge field of speech recognition. It provides a detailed introduction to the process of building a speech recognition system, covering aspects such as corpus construction, speech signal preprocessing, feature extraction, feature transformation, and model establishment. Additionally, it addresses practical challenges in deploying speech recognition systems and offers key technologies to improve their performance, aiming to help speech recognition move beyond the laboratory and into practical applications. The book is divided into four parts: Part 1 introduces the basic theory of speech recognition; Part 2 explains the process of building a practical speech recognition system; Part 3 lists the key technologies required for operationalizing speech recognition systems; and Part 4 provides an in-depth yet accessible explanation of the four main application areas of speech recognition. Based on latest research and experimental results, it offers numerous practical parameters, charts, and strong connections to real-world applications, making it highly operational and practical. The chapters are closely coordinated and mutually reinforcing, demonstrating strong systematic organization. Additionally, through the research processes and methodologies presented in the book, readers can gain significant inspiration for their future research work. This book can serve as a textbook or reference for senior undergraduate and graduate students in engineering and technology disciplines such as communication and information processing at universities, as well as a reference for researchers working in information processing and communication engineering.