Speech Technology

By: Ajit Singh

Narrated by: Virtual Voice

"Speech Technology" is a comprehensive, modern, and practical guide designed to take you from the first principles of speech science to the deployment of advanced conversational AI systems. In a world increasingly reliant on voice-driven interfaces, this textbook serves as an essential resource for students, educators, and practitioners. It systematically covers the entire spectrum of speech technology, ensuring a solid theoretical foundation is immediately reinforced with practical, hands-on applications.


Key Features:

1. Beginner to Advanced Trajectory: The 10-chapter arc provides a smooth learning curve, starting with fundamentals and progressing to state-of-the-art topics like Transformers in speech and end-to-end models.

2. Hands-On Approach: Every major concept is complemented with practical examples, code snippets (primarily in Python), and guided tutorials to solidify understanding.

3. Complete Capstone Project: The final chapter is a unique, fully-fledged project to build a working voicebot, providing invaluable experience in system integration and deployment.

4. Simplified Explanations: We prioritize clarity over jargon, using simple language and real-life examples like Alexa, Google Assistant, and IVR systems to explain core ideas.

5. Modern & Relevant Topics: The book covers the latest advancements, including deep learning architectures (DNNs, LSTMs), end-to-end systems, neural vocoders, and ethical considerations.

6. Real-World Case Studies: Each section is enriched with case studies from various industries—such as healthcare, finance, and consumer electronics—to demonstrate the practical impact of speech technology.


To Whom This Book is For:

1. B.Tech/M.Tech Students: An ideal textbook for students of Computer Science, Information Technology, Electronics, and Communication Engineering pursuing courses on Speech Processing, AI, or Machine Learning.

2. AI and ML Enthusiasts: A perfect starting point for anyone passionate about AI who wants to specialize in the domain of speech and language.

3. Software Developers and Engineers: A practical guide for professionals looking to integrate speech capabilities into their applications and services.

4. Faculty and Educators: A well-structured, NEP-compliant resource with ample material for designing and teaching a course on Speech Technology.

5. Researchers and PhD Scholars: A comprehensive reference that covers both foundational theories and current research directions in the field.

Disclaimer: Earnest request from the Author.

Kindly go through the table of contents and refer kindle edition for a glance on the related contents.

Thank you for your kind consideration!