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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

Brief history and evolution of ASR technology

The concepts behind automated speech recognition date back to the 1930s, when Bell Laboratories built machines to recognize digits spoken over the telephone. However, widespread commercial adoption of the technology we know today only occurred in the 1990s and 2000s.

After nearly a century of innovation, speech recognition capabilities have advanced enormously thanks to transformative approaches in machine learning and the availability of big data. The accuracy and versatility of ASR continue to progress at a remarkable pace.

The early days – Pattern recognition approaches

The first significant wave of innovation in ASR came during the 1950s at Bell Laboratories. Researchers focused on isolated word recognition using heuristic techniques to match acoustic patterns by examining audio waveforms and identifying distinguishable speech components.

Bell Labs built specialized machines to interpret spoken digit sequences over...

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