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Data Labeling in Machine Learning with Python

You're reading from   Data Labeling in Machine Learning with Python Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781804610541
Length 398 pages
Edition 1st Edition
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Author (1):
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Vijaya Kumar Suda Vijaya Kumar Suda
Author Profile Icon Vijaya Kumar Suda
Vijaya Kumar Suda
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Table of Contents (18) Chapters Close

Preface 1. Part 1: Labeling Tabular Data
2. Chapter 1: Exploring Data for Machine Learning FREE CHAPTER 3. Chapter 2: Labeling Data for Classification 4. Chapter 3: Labeling Data for Regression 5. Part 2: Labeling Image Data
6. Chapter 4: Exploring Image Data 7. Chapter 5: Labeling Image Data Using Rules 8. Chapter 6: Labeling Image Data Using Data Augmentation 9. Part 3: Labeling Text, Audio, and Video Data
10. Chapter 7: Labeling Text Data 11. Chapter 8: Exploring Video Data 12. Chapter 9: Labeling Video Data 13. Chapter 10: Exploring Audio Data 14. Chapter 11: Labeling Audio Data 15. Chapter 12: Hands-On Exploring Data Labeling Tools 16. Index 17. Other Books You May Enjoy

Labeling Audio Data

In this chapter, we will embark on this transformative journey through the realms of real-time audio capture, cutting-edge transcription with the Whisper model, and audio classification using a convolutional neural network (CNN), with a focus on spectrograms. Additionally, we’ll explore innovative audio augmentation techniques. This chapter not only equips you with the tools and techniques essential for comprehensive audio data labeling but also unveils the boundless possibilities that lie at the intersection of AI and audio processing, redefining the landscape of audio data labeling.

Welcome to a journey through the intricate world of audio data labeling! In this chapter, we embark on an exploration of cutting-edge techniques and technologies that empower us to unravel the richness of audio content. Our adventure unfolds through a diverse set of topics, each designed to enhance your understanding of audio processing and labeling.

Our journey begins...

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