Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch
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Updated
Sep 4, 2021 - Python
Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch
Automated music genre classification using machine learning
Using deep learning to predict the genre of a song.
Genre Classification using Convolutional Neural Networks
🎵 Trained CNN model for Genre classification on GTZAN dataset [CNN Model: https://github.com/Hguimaraes/gtzan.keras]
Content-based Music Genre Classification
Clasifying music into 8 Genres
Classify audio into genres
to classify music into different genres
Music genre classification done in two different ways. 1. Traditional ML and 2. Temporal feature integration/ Fusion of decisions.
Machine learning approach to classify music genre on GTZAN dataset using CNN + LSTM
A music genre classifier built with Tensorflow and deployed as a web app with Heroku and Flask
Music genre classification using CNN
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 on the GTZAN dataset
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.
A Multi-Label Music Genre Classifier
Easy Genre Classification using GTZAN dataset in tensorflow.
This is a small project to classify the GTZAN dataset by applying multiple algorithms for training the models.
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