Music Genre Classification on GTZAN. Submitted for the final project

Easy Genre Classification using GTZAN dataset in tensorflow.

A music genre classifer system

This repository contains a bunch of small tools which I wrote as a part of my Master's Thesis.

Original Keras implementation of the code for the paper "Client-driven animated GIF generation framework using an acoustic feature," at 1171: Real-time 2D/3D Image Processing with Deep Learning (MTAP)

Music Genre Classification using Logistic Regression

Classification of music genres using audio files.

Using the GTZAN dataset to create a classifier that can classify what the music genre is playing!

A music genre classifier using CNN, RNN, and Mel spectrogram

Music genre classification using CNN

Music Genre Classification using Neural Networks on GTZAN Dataset

GTZAN - Music Genre Classification

Music genre classification on the GTZAN dataset

Music genre classification done in two different ways: 1.Traditional ML and 2.Temporal feature integration/Fusion of decisions

A Multi-Label Music Genre Classifier

Music Genre Classification using MFCC + ANN

Implemented multiple classification models using Python with GTZAN data set by leading a team of three people. Compared the performances of K-NN, SVM, CNN models and logged their results in terms of prediction accuracies. A Convolutional Neural Network model stood out with the highest prediction accuracy of 82% amongst all other models.

10 genre music genre classification. Comparative and exploratory analysis of the pre-processing routines applied, feature extraction techniques and the models used for identification are enclosed