tomfran/urban-sound-classification
UrbanSound8K dataset classification using MLP and CNN
This project helps classify different types of urban sounds, like car horns, dog barks, or street music. It takes raw urban audio recordings and categorizes them into predefined sound classes. It's useful for researchers or urban planners who need to analyze environmental noise or track sound events in city environments.
No commits in the last 6 months.
Use this if you need to automatically identify and label specific sound events within a collection of urban audio recordings.
Not ideal if you're looking for a tool to analyze speech, musical genres, or animal sounds outside of a typical urban context.
Stars
11
Forks
2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 17, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/tomfran/urban-sound-classification"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
aqibsaeed/Urban-Sound-Classification
Urban sound classification using Deep Learning
spotify/realbook
Easier audio-based machine learning with TensorFlow.
ArmDeveloperEcosystem/ml-audio-classifier-example-for-pico
ML Audio Classifier Example for Pico 🔊🔥🔔
IliaZenkov/sklearn-audio-classification
An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering,...
mimbres/neural-audio-fp
Official implementation of Neural Audio Fingerprint (ICASSP 2021)