dnn-mgr

Music genre classifier

Research code for deep neural networks in music genre recognition

GitHub

22 stars
3 watching
8 forks
Language: Python
last commit: about 6 years ago

Related projects:

Repository Description Stars
kristijanbartol/deep-music-tagger Classifies music genres based on audio features using a deep learning model 68
despoisj/deepaudioclassification Automatically categorizes music genres using deep learning algorithms 1,099
mlachmish/musicgenreclassification Classify music genre from a 10-second sound stream using a neural network. 565
alextsaptsinos/lyricshan An approach to classifying music genres using lyrics based on a hierarchical attention network 32
rickiepark/cnn_mer A music emotion classification system based on convolutional neural networks using TensorFlow. 10
biboamy/music-repro Classifies music genres based on advanced neural models and cross-modal reprogramming techniques to improve performance in low-resource settings. 15
dada-bots/dadagp Converts GuitarPro songs to and from a token sequence format suitable for training generative language models. 123
soerenab/audiomnist This project provides an implementation of a deep learning framework to classify audio signals and offers insights into the model's decision-making process using Explainable Artificial Intelligence (AI) techniques. 350
jongpillee/musictagging_msd This project is an audio classification system trained on the MSD tagging dataset, enabling automatic tagging of music files with relevant genres and styles. 7
keunwoochoi/icassp_2017 A repository containing code and pre-trained models for music classification using Convolutional Recurrent Neural Networks. 12
ruohoruotsi/lstm-music-genre-classification An audio classification project using LSTMs to classify music genres 298
salu133445/musegan Generates polyphonic music from scratch or based on user input using a neural network architecture 1,860
jordipons/eusipco2017 Research code for music auto-tagging using deep learning and feature extraction 23
muhanzhang/dgcnn A deep learning architecture for graph classification that extracts vertex features through propagation-based graph convolution and retains more node information than traditional sum pooling methods. 174
mhlee0903/multi_channels_pinn Investigating neural networks for drug discovery using multiple chemical descriptors. 3