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Learn OpenAI Whisper

You're reading from   Learn OpenAI Whisper Transform your understanding of GenAI through robust and accurate speech processing solutions

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781835085929
Length 372 pages
Edition 1st Edition
Concepts
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Author (1):
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Josué R. Batista Josué R. Batista
Author Profile Icon Josué R. Batista
Josué R. Batista
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Table of Contents (16) Chapters Close

Preface 1. Part 1: Introducing OpenAI’s Whisper FREE CHAPTER
2. Chapter 1: Unveiling Whisper – Introducing OpenAI’s Whisper 3. Chapter 2: Understanding the Core Mechanisms of Whisper 4. Part 2: Underlying Architecture
5. Chapter 3: Diving into the Whisper Architecture 6. Chapter 4: Fine-Tuning Whisper for Domain and Language Specificity 7. Part 3: Real-world Applications and Use Cases
8. Chapter 5: Applying Whisper in Various Contexts 9. Chapter 6: Expanding Applications with Whisper 10. Chapter 7: Exploring Advanced Voice Capabilities 11. Chapter 8: Diarizing Speech with WhisperX and NVIDIA’s NeMo 12. Chapter 9: Harnessing Whisper for Personalized Voice Synthesis 13. Chapter 10: Shaping the Future with Whisper 14. Index 15. Other Books You May Enjoy

Preface

Welcome to the world of automatic speech recognition (ASR) and OpenAI’s groundbreaking Whisper technology! In this book, Learn OpenAI Whisper, we will embark on a comprehensive journey to explore and master one of the most advanced ASR systems available today.

OpenAI’s Whisper represents a significant leap forward in speech recognition, offering unparalleled accuracy, versatility, and ease of use. Whether you are a developer, researcher, or enthusiast, this book will equip you with the knowledge and skills needed to harness the power of Whisper and unlock its full potential.

Throughout the chapters, we will dive deep into Whisper’s core concepts, underlying architecture, and practical applications. Starting with an introduction to the basics of ASR and Whisper’s critical features in Part 1, we will lay a solid foundation for understanding this cutting-edge technology.

In Part 2, we will explore the intricate details of Whisper’s architecture, including the transformer model, multitasking capabilities, and training techniques. You will gain hands-on experience in fine-tuning Whisper for domain and language specificity, enabling you to tailor the model to your needs.

Part 3 is where the real excitement begins as we delve into Whisper’s vast array of real-world applications and use cases. From transcription services and voice assistants to accessibility features and advanced techniques such as speaker diarization and personalized voice synthesis, you will learn how to leverage Whisper’s capabilities across various domains.

As you progress through the chapters, you will acquire technical skills and gain insights into the ethical considerations and future trends shaping the landscape of ASR and voice technologies. By the end of this book, you will be well equipped to tackle the challenges and opportunities that lie ahead in this rapidly evolving field.

Whether you want to enhance existing applications, develop innovative solutions, or expand your knowledge in ASR, Learn OpenAI Whisper is your comprehensive guide. This book leaves no stone unturned, ensuring you thoroughly understand Whisper and its applications. Get ready to embark on an exciting discovery, mastery, and innovation journey with OpenAI’s Whisper!

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