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You're reading from  Data Labeling in Machine Learning with Python

Product typeBook
Published inJan 2024
PublisherPackt
ISBN-139781804610541
Edition1st Edition
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Author (1)
Vijaya Kumar Suda
Vijaya Kumar Suda
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Vijaya Kumar Suda

Vijaya Kumar Suda is a seasoned data and AI professional boasting over two decades of expertise collaborating with global clients. Having resided and worked in diverse locations such as Switzerland, Belgium, Mexico, Bahrain, India, Canada, and the USA, Vijaya has successfully assisted customers spanning various industries. Currently serving as a senior data and AI consultant at Microsoft, he is instrumental in guiding industry partners through their digital transformation endeavors using cutting-edge cloud technologies and AI capabilities. His proficiency encompasses architecture, data engineering, machine learning, generative AI, and cloud solutions.
Read more about Vijaya Kumar Suda

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Visualizing audio data with matplotlib and Librosa

Visualizations play a crucial role in understanding and interpreting audio data. Here’s a comparison of different types of visualizations for audio data and their uses in various scenarios. The choice of visualization depends on the specific goals of the analysis, the nature of the audio data, and the intended application. Combining multiple visualizations can provide a comprehensive understanding of complex audio signals.

This section demonstrates how to visualize audio data, an essential skill in audio analysis.

Waveform visualization

A waveform is a simple plot that shows how the audio signal changes over time. It’s like looking at the ups and downs of the audio as a line graph. In other words, a waveform represents the amplitude of the audio signal over time:

import librosa
import librosa.display
import matplotlib.pyplot as plt
# Load an audio file
audio_file = "sample_audio.wav"
y, sr = librosa...
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Data Labeling in Machine Learning with Python
Published in: Jan 2024Publisher: PacktISBN-13: 9781804610541

Author (1)

author image
Vijaya Kumar Suda

Vijaya Kumar Suda is a seasoned data and AI professional boasting over two decades of expertise collaborating with global clients. Having resided and worked in diverse locations such as Switzerland, Belgium, Mexico, Bahrain, India, Canada, and the USA, Vijaya has successfully assisted customers spanning various industries. Currently serving as a senior data and AI consultant at Microsoft, he is instrumental in guiding industry partners through their digital transformation endeavors using cutting-edge cloud technologies and AI capabilities. His proficiency encompasses architecture, data engineering, machine learning, generative AI, and cloud solutions.
Read more about Vijaya Kumar Suda