lyricsHAN

Genre classifier

An approach to classifying music genres using lyrics based on a hierarchical attention network

Music Genre Classification by Lyrics using a Hierarchical Attention Network

GitHub

32 stars
4 watching
9 forks
Language: Python
last commit: over 8 years ago

Related projects:

RepositoryDescriptionStars
despoisj/deepaudioclassificationAutomatically categorizes music genres using deep learning algorithms1,099
mlachmish/musicgenreclassificationClassify music genre from a 10-second sound stream using a neural network.565
keunwoochoi/icassp_2017A repository containing code and pre-trained models for music classification using Convolutional Recurrent Neural Networks.12
ruohoruotsi/lstm-music-genre-classificationAn audio classification project using LSTMs to classify music genres298
kristijanbartol/deep-music-taggerClassifies music genres based on audio features using a deep learning model68
coreyker/dnn-mgrResearch code for deep neural networks in music genre recognition22
biboamy/music-reproClassifies music genres based on advanced neural models and cross-modal reprogramming techniques to improve performance in low-resource settings.15
rickiepark/cnn_merA music emotion classification system based on convolutional neural networks using TensorFlow.10
yongxuustc/dcase2017_task4_cvsspA system for audio classification and detection using machine learning models4
keunwoochoi/transfer_learning_musicA repository providing tools and pre-trained models for music classification and regression tasks using transfer learning.256
drscotthawley/audio-classifier-keras-cnnAn audio classification system using a convolutional neural network to classify audio data160
jongpillee/musictagging_msdThis project is an audio classification system trained on the MSD tagging dataset, enabling automatic tagging of music files with relevant genres and styles.7
soerenab/audiomnistThis 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.351
ronggong/eusipco2017A software project that enables phoneme classification in music audio signals using convolutional neural networks and other machine learning techniques.19
jvbalen/catchyTools for analyzing popular music to identify catchy hooks21