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.
Overview
Syllabus
Introduction
Acoustic Features
Frames
Duration
Time Domain
Frequency Domain
Fourier Transform
Spectral Leakage
Windowing
Hand Window
Applying Hand Window
NonOverlapping Frames
Conclusion
Taught by
Valerio Velardo - The Sound of AI
