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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

Applying best practices for performance optimization

Now equipped with a solid grasp of Whisper’s architecture and data flows, we’re ready to shift focus toward real-world deployment. This pivotal section distills fundamental guidelines, trade-offs, and operational wisdom, accelerating production success.

We’ll cover specialized topics beyond basic setup – from strategically provisioning infrastructure to monitoring metrics, integrating downstream NLP, tuning configurations, and troubleshooting common incidents. Consider this your handbook for effectively scaling Whisper-based solutions.

While fundamentals provide strong bases, intricacies of the environment determine outcomes. By tailoring and streamlining system-wide stack configurations to your context, we unlock next-level reliability, efficiency, and return on investment (ROI). Specifically, this involves steps such as the following:

  • Optimally allocating cloud, edge, or on-device compute...
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