My Urban Sound Challenge classification
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Updated
Aug 14, 2018 - Python
My Urban Sound Challenge classification
Set of 1D CNN models to classify sound clips from the Urban Sound Classification dataset using Keras and Librosa
Waveplot for UrbanSound8K audio dataset
Spectrogram for UrbanSound8K audio dataset
consist of python scripts, having various models for urban sound classification on UrbanSound8K dataset based on http://aqibsaeed.github.io/2016-09-03-urban-sound-classification-part-1/
In this project, I implemented Convolutional Neural Networks on images of melspectrogram of sound files.
Classifying Sounds
Urban Sound Challenge project
Urban Sound Classification
Audio Classification on UrbanSound8k dataset
Classification of urban sounds such as air conditioner, jackhammer, drilling, siren, street music, engine idling and children playing by using Mel-frequency Cepstral Coefficients (MFCCs) as audio feature and CNN algorithm.
Web app for urban sound classification
Sound classification on Urban Sound Dataset
A deep learning classifier for urban sounds using the EfficientNet network
Urban sound classification using Deep Learning
Urban Sounds Classification - Koç Holding Deep Learning Bootcamp by GlobalAIHub
Classification of Urban Sound Audio Dataset using LSTM-based model.
A CNN model trained using spectrograms of urban sounds
Sound Classification using Neural Networks
The goal of this project is to obtain a classifier that can automatically classify environmental sounds according to their category. This can be implemented on both transport vehicles and wearable devices to improve road safety.
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