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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

Product type Paperback

Published in May 2024

Publisher Packt

ISBN-13 9781835085929

Length 372 pages

Edition 1st Edition

Concepts

GPT/LLMs

Author (1):

Josué R. Batista

View More author details

Table of Contents (16) Chapters

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

Why subscribe?

15. Other Books You May Enjoy

Technical requirements

To harness the capabilities of OpenAI’s Whisper for advanced applications, this chapter leverages Python and Google Colab for ease of use and accessibility. The Python environment setup includes the Whisper library for transcription tasks.

Key requirements:

Google Colab notebooks: The notebooks are set to run our Python code with the minimum required memory and capacity. If the T4 GPU runtime type is available, select it for better performance.
Python environment: Each notebook contains directives to load the required Python libraries, including Whisper.
GitHub repository access: All Python code, including examples, is available in the chapter’s GitHub repository (https://github.com/PacktPublishing/Learn-OpenAI-Whisper/tree/main/Chapter02). These Colab notebooks are ready to run, providing a practical and hands-on approach to learning.

By meeting these technical requirements, you will be prepared to explore Whisper in different...

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Authors (1)

Josué R. Batista

Josué R. Batista

Josué Batista, a Digital Strategist and Solution Architect, has drawn on his rich blend of academic prowess and industry experience while writing this book. With an MBA and a Master's in Information Systems Management, he has excelled in various roles, including as a technical programmatic leader at PPG Industries, Meta's Reality Research Labs, and Harvard Business School, where he focused on generative AI and large language models. His book draws on his extensive experience in new technology introduction, offering readers a comprehensive guide to mastering OpenAI's Whisper for practical applications. Originally from Ciudad Bolivar, Venezuela, Josué resides in Pittsburgh, PA, with his wife and feline companions.

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