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Data Augmentation with Python

You're reading from   Data Augmentation with Python Enhance deep learning accuracy with data augmentation methods for image, text, audio, and tabular data

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Product type Paperback
Published in Apr 2023
Publisher Packt
ISBN-13 9781803246451
Length 394 pages
Edition 1st Edition
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Author (1):
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Duc Haba Duc Haba
Author Profile Icon Duc Haba
Duc Haba
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Toc

Table of Contents (17) Chapters Close

Preface 1. Part 1: Data Augmentation
2. Chapter 1: Data Augmentation Made Easy FREE CHAPTER 3. Chapter 2: Biases in Data Augmentation 4. Part 2: Image Augmentation
5. Chapter 3: Image Augmentation for Classification 6. Chapter 4: Image Augmentation for Segmentation 7. Part 3: Text Augmentation
8. Chapter 5: Text Augmentation 9. Chapter 6: Text Augmentation with Machine Learning 10. Part 4: Audio Data Augmentation
11. Chapter 7: Audio Data Augmentation 12. Chapter 8: Audio Data Augmentation with Spectrogram 13. Part 5: Tabular Data Augmentation
14. Chapter 9: Tabular Data Augmentation 15. Index 16. Other Books You May Enjoy

Audio Data Augmentation with Spectrogram

In the previous chapter, we visualized the sound using the Waveform graph. An audio spectrogram is another visualizing method for seeing the audio components. The inputs to the Spectrogram are a one-dimensional array of amplitude values and the sampling rate. They are the same inputs as the Waveform graph.

An audio spectrogram is sometimes called a sonograph, sonogram, voiceprint, or voicegram. The Spectrogram is a more detailed representation of sound than the Waveform graph. It shows a correlation between frequency and amplitude (loudness) over time, which helps visualize the frequency content in a signal. Spectrograms make it easier to identify musical elements, detect melodic patterns, recognize frequency-based effects, and compare the results of different volume settings. Additionally, the Spectrogram can be more helpful in identifying non-musical aspects of a signal, such as noise and interference from other frequencies.

The typical...

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