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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

Considering ethical implications

As ASR technologies such as OpenAI Whisper become more advanced and widely adopted, addressing the ethical considerations and implications associated with their development and deployment is crucial. This section will delve into critical issues such as ensuring fairness, mitigating bias, protecting user privacy and data security, and establishing guidelines and safeguards for their responsible use. By proactively establishing a framework for responsible ASR deployment, we can harness the benefits of these technologies while mitigating potential risks and negative consequences.

Ensuring fairness and mitigating bias in ASR

ASR systems such as Whisper may exhibit performance bias against certain types of speech, such as non-native accents, dialects, age groups, and genders. Studies have shown that these biases can result in higher error rates and unequal user experiences, leading to discrimination against underserved populations. Addressing performance...

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