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1
Introduction
2
Acoustic Features
3
Frames
4
Duration
5
Time Domain
6
Frequency Domain
7
Fourier Transform
8
Spectral Leakage
9
Windowing
10
Hand Window
11
Applying Hand Window
12
NonOverlapping Frames
13
Conclusion
Description:
Explore the essential steps for extracting acoustic features from audio signals in both time and frequency domains in this informative video. Gain insights into crucial audio processing concepts such as spectral leakage, windowing, frames, and hop length. Discover the process of applying Fourier Transform, understanding spectral leakage, and implementing windowing techniques. Learn about non-overlapping frames and their significance in audio feature extraction. Access accompanying slides for visual reference and join The Sound of AI community for further discussions and resources.

How to Extract Audio Features

Valerio Velardo - The Sound of AI
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