There are 2 repositories under genre-classification topic.
Deep learning based content moderation from text, audio, video & image input modalities.
Recognizing the genre of music files using machine learning and deep learning models
Genre Classification using Convolutional Neural Networks
공개 한국어 감성 검색 엔진 - 2017 제 11회 공개SW개발자대회 결선작
🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis
🎵 Trained CNN model for Genre classification on GTZAN dataset [CNN Model: https://github.com/Hguimaraes/gtzan.keras]
Data pipeline and training pipeline for 🎵 music genre classification from FMA dataset
Generate vector embeddings for music
Categorize audio files by genre effortlessly. Use Dockerized environment and API to classify music genres.
Genre Classification Model Based on VGGish
The project consists in evaluating music similarity and building a genre classifier using song embeddings from GTZAN dataset extracted with Essentia’s MSD-MusiCNN model.
musical genres binary classification using pytorch.audio and keras
This is Content based music recommendation system. I have used both audio features and lyrics (text based) features for recommending most similar songs to a given query song.
to classify music into different genres
beets plugin to auto-detect the genre for each item within your music library
A PySpark MLlib classification model to classify songs based on a number of characteristics into a set of 23 electronic genres.
A Machine Learning project of estimating pitch of human vocal from songs by vocal separation
A tensorflow application of CNN based music genre classifier which classifies an audio clip based on it's Mel Spectrogram and a RestAPI for inference using tensorflow serving
A text-based analysis of K-12 standards using NLP, KMeans, Pystringmatching, Fuzzy Wuzzy, Scattertext and Linear SVC models
CNN model for classifying Psytrance Subgenres
INF6243 - Classification de genres musicaux
A two-class music genre classfier based on CNN (Convolutional Neural Network)
A music genre classification project. Audio source: gtzanetakis, Million Song Dataset; ML Libraries: Keras, Tensorflow, Pytorch; NN Models: CNN, RNN.
Models for music genre recognition
ML-17 - University project - MLP, Convutional 2d Network
Genre Detection of Bengali Rabindranath Tagore's Song Based On Audio Data.
Music Loops Genre Classifier CNN
.wav files, training dataset (MFCC), and graph plots (FFTs, MFCCs, Waveforms) from Latin America, Asia, MiddleEast, and Africa
Easy Genre Classification using GTZAN dataset in tensorflow.
Music genre classification is a task in machine learning that involves predicting the genre of a given music track. This is typically done using audio features such as tempo, melody, and rhythm, which are then used to train a model to classify music into various genres such as pop, rock, jazz, or classical.
We use different models to predict the type/genre of music given to us.
Multimodal and multilable movie genre classification
Real Time Music Genre Classification using Essentia.js