Understanding Time Domain Audio Features @ValerioVelardoTheSoundofAI
Understanding Time Domain Audio Features  @ValerioVelardoTheSoundofAI
Uploaded July 2020 | Updated September 2026, 2 weeks ago
I introduce fundamental time-domain audio features, such as Amplitude Envelope, Root-Mean-Squared Energy, and Zero Crossing Rate. I explain the intuition and the math behind these temporal acoustic features, and mention a few sample applications.

Slides:
github.com/musikalkemist/AudioSignalProcessingForML/blob/master/7-%20Time-domain%20audio%20features/Time-domain%20audio%20features.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
Understanding Time Domain Audio FeaturesCovid-19 and Cough. This AI Predicts if You Have the Infection || Paper Explained.What’s the salary of an AI audio engineer? [2022]Open Closed Principle for Machine Learning Engineers: Theory and PracticeExtracting Mel Spectrograms with PythonHow to Implement Autoencoders in Python and Keras || The EncoderHow to Select AI (Audio) Papers EffectivelyTraining a VAE with Speech Data in KerasSaving the Autoencoder in Keras5 Things I Wish I Knew when I Founded my AI Music Company12.  Melody Generation with Markov Chains - Generative Music AIPreparing the Speech Dataset
Valerio Velardo - The Sound of AI |

Understanding Time Domain Audio Features

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER