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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

Leveraging the Whisper checkpoints

Whisper checkpoints come in five configurations of varying model sizes (Tiny, Base, Small, Medium, and Large). The checkpoints with the smallest four sizes are trained on either English-only or multilingual data. The largest checkpoints are multilingual only. All 11 pre-trained checkpoints are available on the Hugging Face Hub (https://huggingface.co/models?search=openai/whisper). The checkpoints are summarized in the following table with links to the models on the Hub:

...

Size	Layers	Width	Heads	Parameters	English-Only	Multilingual
Tiny	4	384	6	39M	✓	✓

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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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