Understanding Audio Data for Deep Learning

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.