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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

Technical requirements

To harness the capabilities of OpenAI’s Whisper for advanced applications, this chapter leverages Python, OpenVINO1 for optimizing model performance, and Google Colab for ease of use and accessibility. The Python environment setup includes the Whisper library for transcription and translation tasks, OpenVINO for enhancing model inference speed, and additional libraries such as PyTube and FeedParser for specific use cases.

1 OpenVINO is a trademark owned by Intel Corporation.

Key requirements:

  • Python environment: Ensure Whisper and OpenVINO are installed. OpenVINO is crucial for optimizing Whisper’s performance across different hardware.
  • Google Colab notebooks: Utilize the Google Colab notebooks available from this book’s GitHub repository. The notebooks are set to run our Python code with minimum required memory and capacity. If the T4 GPU runtime type is available, select it for better performance..
  • GitHub...
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