Understanding Audio Data for Deep Learning

Explore fundamental concepts of audio digital processing essential for deep learning applications in this 33-minute video. Delve into waveforms, pitch, loudness, Fourier transform, spectrograms, and MFCCs. Gain insights into sound metrics, short-time Fourier transform, preprocessing pipelines, and MFCC representations and applications. Access accompanying slides and additional resources for a comprehensive understanding of audio data analysis in the context of deep learning.

Intro
What is sound
Metrics
Fourier transform
Shorttime Fourier transform
Preprocessing pipeline
M FCCs
M FCC representation
M FCC applications
Preprocessing
Outro