Implementation of audio, image, and spectrogram augmentation techniques provided by the librosa, Keras and audiomentations
The code implements the Deep CNN model described in Salamon and Bello's paper for Environmental Sound Classification on Urbansound8k dataset
Replication of the Paper Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification by Salomon & Bello
This repository contains the implementation of Environmental Sound Classification on the ESC-50 dataset using the ACDNet.
The aim of this project was to design and implement a Flask web application for classifying environmental sounds which uses convolutional neural network architecture.
This is the translation of our Turkish language published article to English language. For Turkish Link: https://www.set-science.com/manage/uploads/ISAS2022_0088/SETSCI_ISAS2022_0088_0011.pdf
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