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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

Harnessing Whisper for Personalized Voice Synthesis

Welcome to Chapter 9, where we’ll delve into personalized voice synthesis (PVS). This field encompasses various applications and technologies that create synthetic voices tailored to individual preferences or needs. PVS is a versatile process that can be customized for various purposes, including assistive technologies, virtual assistant development, and digital content creation. In this context, OpenAI’s Whisper tool enables voice synthesis by providing accurate speech data transcriptions during preprocessing and registration.

As we begin, it’s crucial to distinguish between voice cloning and PVS. Voice cloning involves creating a digital replica of a natural person’s voice. While this technology has valid applications, it also raises significant ethical concerns. PVS, however, focuses on creating unique voices inspired by specific characteristics without directly copying an individual’s voice...

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