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Master AI and Machine Learning: From Neural Networks to Applications
Overview
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This introductory course explains how to distinguish and categorize audio features for machine-learning applications, including time-domain, frequency-domain, and time-frequency features. It compares categorization by abstraction level, temporal scope, music aspect, signal domain, and machine-learning approach.
Syllabus
Intro
Why audio features?
Audio feature categorisation
Level of abstraction
Temporal scope
Music aspect
Signal domain
Machine learning approach
Traditional ML
Deep Learning
Types of intelligent audio systems
What's up next?
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Taught by
Valerio Velardo - The Sound of AI