This repository contains code for classification of sound using spectrograms. We train a CNN to classify the sounds after converting to spectrogram.
-
Updated
Dec 14, 2018 - Python
This repository contains code for classification of sound using spectrograms. We train a CNN to classify the sounds after converting to spectrogram.
[ICASSP 2023] PyTorch code for "Play It Back: Iterative Attention for Audio Recognition"
Drone malfunction finder is an end-to-end system for fault-detection-from-uav-sounds, leveraging ML-based audio analysis to identify and classify drone faults.
Code from kaggle competition
🐦 Deep Learning based Bird Sound Classification covering 50 species. Powered by PyTorch, Librosa, ResNet-18 Transfer Learning and Smart Audio Slicing. Trained with Xero-Canto datasets. Achieved ~96% accuracy.
Add a description, image, and links to the sound-classification-spectrograms topic page so that developers can more easily learn about it.
To associate your repository with the sound-classification-spectrograms topic, visit your repo's landing page and select "manage topics."