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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

Summary

In this final chapter, we explored the future of ASR and the exciting advancements shaping the landscape by focusing on OpenAI’s groundbreaking Whisper model. We examined ongoing efforts to enhance Whisper’s performance, including improving accuracy and robustness, expanding language support, achieving better punctuation and speaker diarization, and accelerating performance for real-time capabilities. Additionally, we delved into the critical ethical considerations and responsible AI practices crucial for developing and deploying ASR technologies, ensuring that these powerful tools benefit society while respecting individual rights and promoting fairness.

This chapter delved into cutting-edge techniques and strategies that can be used to enhance Whisper’s performance, including increasing training data, fine-tuning for specific domains, and optimizing model architecture. We investigated approaches for making ASR more inclusive by collecting diverse datasets...

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