Understanding Audio Data for Deep Learning
Offered By: Valerio Velardo - The Sound of AI via YouTube
Course Description
Overview
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.
Syllabus
Intro
What is sound
Metrics
Fourier transform
Shorttime Fourier transform
Preprocessing pipeline
M FCCs
M FCC representation
M FCC applications
Preprocessing
Outro
Taught by
Valerio Velardo - The Sound of AI
Related Courses
Neural Networks for Machine LearningUniversity of Toronto via Coursera 機器學習技法 (Machine Learning Techniques)
National Taiwan University via Coursera Machine Learning Capstone: An Intelligent Application with Deep Learning
University of Washington via Coursera Прикладные задачи анализа данных
Moscow Institute of Physics and Technology via Coursera Leading Ambitious Teaching and Learning
Microsoft via edX