This project explores the use of deep learning models, particularly CNNs, to classify drum sounds accurately.

Implementation of sound classifying program.

Urban sound source tagging from an aggregation of four second noisy audio clips via 1D and 2D CNN (Xception)

[ICASSP 2023] PyTorch code for "Play It Back: Iterative Attention for Audio Recognition"

Mini-Contests of Machine Learning course

Fully automated machine learning pipeline for bird sound recognition

Sound classification on Urban Sound Dataset

Replication of the Paper Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification by Salomon & Bello

This is a machine learning/neural network model that can classify the type of sound (10 classes) using the Mel Scale and Spectrogram.

Code from kaggle competition

This repository contains code for classification of sound using spectrograms. We train a CNN to classify the sounds after converting to spectrogram.