gtzan-dataset
There are 40 repositories under gtzan-dataset topic.
ruohoruotsi/LSTM-Music-Genre-Classification
Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch
jazdev/genreXpose
Automated music genre classification using machine learning
jsalbert/Music-Genre-Classification-with-Deep-Learning
Using deep learning to predict the genre of a song.
Insiyaa/Music-Genre-Classification
Genre Classification using Convolutional Neural Networks
NazarPonochevnyi/Trained-CNN-for-Genre-classification
🎵 Trained CNN model for Genre classification on GTZAN dataset [CNN Model: https://github.com/Hguimaraes/gtzan.keras]
MelihGulum/Music-Genre-Classification
This project aims to classify music genres. CNN architecture and GTZAN dataset were used for model training. Finally, a Web Application was made with Flask.
akihiro-inui/MusicGenreClassifiaction
Content-based Music Genre Classification
adibyte95/music-genre-classification
to classify music into different genres
codeit14/Music-Genre-Classifier
Clasifying music into 8 Genres
Data-Science-Community-SRM/Music-Genre-Classification-System
Classify audio into genres
GeorgiosKalantzis/Audio_GenreClassification
Music genre classification done in two different ways. 1. Traditional ML and 2. Temporal feature integration/ Fusion of decisions.
awray3/music_clf
A music genre classifier built with Tensorflow and deployed as a web app with Heroku and Flask
EsratMaria/MusicGenreRecogniton
Machine learning approach to classify music genre on GTZAN dataset using CNN + LSTM
luigidamico100/Music-Genre-Classification
Music genre classification using CNN
Hetan07/Multi-Label-Music-Genre-Classifier
A Multi-Label Music Genre Classifier
iamgmujtaba/gif-acoustic
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)
achgls/music-genre-classification
Music genre classification project as part of the Numerical Analysis for Machine Learning course at Politecnico di Milano, A.Y 2022-2023.
dilne/GTZAN-Music-Genre-Classification
Music genre classification on the GTZAN dataset
Francesco-Ranieri/music-genre-classification
GTZAN - Music Genre Classification
mrn3088/music-genre-classification
Music Genre Classification using Neural Networks on GTZAN Dataset
reshalfahsi/music-genre-classification
Music Genre Classification using MFCC + ANN
trong0dn/music-genre-classification
Using the GTZAN dataset to create a classifier that can classify what the music genre is playing!
ungc1atwit/Music-Genre-Classification
This is a small project to classify the GTZAN dataset by applying multiple algorithms for training the models.
chandukasturi/Music-Genre-Classification
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.
Hetan07/Single-Label-Music-Classifier
A music genre classifer system
pha123661/CNN-Music-Genre-Classifier
A music genre classifier using CNN, RNN, and Mel spectrogram
shrey-soni/Music-Genre-Classification-and-Recommender-System
A ML approach to find genre of a given song file and to recommend similar songs in the same dataset.
suryanktiwari/Music-Genre-Classification
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
ahidalgocenteno/TFG-Antonio-Hidalgo-Centeno
Evaluación de sistemas de estimación del género musical mediante descriptores de audio y aprendizaje automático
RB100-git/Music-Genre-Classification-Using-Machine-Learning
Classification of music genres using audio files.
SiddheshBangar/Music-Genre-Classification
The Mini Project for Semester 5: Vidyalankar Institute of Technology
TheLazarus/Music-Analysis-Tools
This repository contains a bunch of small tools which I wrote as a part of my Master's Thesis.
lukasz-iskierka/ml-music-classification
Music genre classification comparing RandomForest, KNN, and SVM models with optimised feature selection, achieving 91% accuracy using KNN on the GTZAN dataset