Uploaded July 2020 | Updated September 2026, 2 weeks ago
Learn how to distinguish among different types of audio features, which are instrumental to build intelligent audio applications. I introduce time domain, frequency domain, and time-frequency domain features. I explain how we can categorise audio features based on their level of abstraction, ML approach adopted, and temporal scope.
This video is part of the Audio Processing for Machine Learning series. This course aims to teach you how to process audio data 🎧 and extract relevant audio features for your machine learning applications 🤖🤖.
Slides:
github.com/musikalkemist/AudioSignalProcessingForML/blob/master/5-%20Types%20of%20audio%20features%20for%20ML/Types%20of%20Audio%20Features%20for%20ML.pdf
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Learn how to distinguish among different types of audio features, which are instrumental to build intelligent audio applications. I introduce time domain, frequency domain, and time-frequency domain features. I explain how we can categorise audio features based on their level of abstraction, ML approach adopted, and temporal scope.
This video is part of the Audio Processing for Machine Learning series. This course aims to teach you how to process audio data 🎧 and extract relevant audio features for your machine learning applications 🤖🤖.
Slides:
github.com/musikalkemist/AudioSignalProcessingForML/blob/master/5-%20Types%20of%20audio%20features%20for%20ML/Types%20of%20Audio%20Features%20for%20ML.pdf
Join The Sound Of AI Slack community:
valeriovelardo.com/the-sound-of-ai-community
Interested in hiring me as a consultant/freelancer?
valeriovelardo.com
Follow Valerio on Facebook:
facebook.com/TheSoundOfAI
Connect with Valerio on Linkedin:
linkedin.com/in/valeriovelardo
Follow Valerio on Twitter:
twitter.com/musikalkemist










