Nature Sounds AI
 
Nature Sounds : Identifying Sounds Around Us  By Jasmin Ibrišimbegović  Introduction    We live in a world filled with sound—birds chirping at dawn, rain pattering on windows, dogs barking in the distance. Yet identifying these sounds computationally is far more challenging than it appears. Unlike images, which freeze a moment in a fixed frame, sounds are temporal, variable in length, and often obscured by background noise.  Nature Sounds  is my attempt to tackle this problem: an AI-powered system that classifies 50 environmental sounds in real-time, from frog croaking to car horns, using deep learning and accessible mobile technology.  The Challenge of Sound Recognition  Sound recognition faces unique challenges that make it fundamentally different—and harder—than image recognition:  1. Temporal Variability  Unlike a photograph with fixed dimensions (e.g., 224×224 pixels), audio clips vary wildly in duration. A dog bark might last half a second; rain can continue for hours. Models mus...
 
 
 
