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

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Published inJan 2024
PublisherPackt
ISBN-139781804610541
Edition1st Edition
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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.
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Audio data fundamentals

First, let us understand some basic terminology in audio data analysis:

  • Amplitude: Sound is made up of waves, and the height of those waves is called the amplitude. The bigger the amplitude, the louder the sound. Amplitude refers to the maximum extent of a vibration or oscillation, measured from the position of equilibrium. Imagine a swinging pendulum. The distance the pendulum moves from its resting position (middle point) to one extreme is its amplitude. Think of a person on a swing. The higher they swing, the greater the amplitude of their motion.
  • RMS calculation: To find the loudness using RMS, we square the amplitude values of the sound waves. This is done because it helps us focus on the positive values (removing any negative values) and because loudness should reflect the intensity of the sound.
  • Average power: After squaring the amplitudes, we calculate the average (mean) of these squared values. It’s like finding the typical size...
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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