Music genre classification using lyrics text mining
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Updated
May 6, 2020 - Jupyter Notebook
Music genre classification using lyrics text mining
deepNOID, the binary music genre classifier which determines if what you're listening to really is NOIDED
The JSON list for all the general music genres
Building a Music Genre Classifier (MGC) using machine learning and applying two different forms of dimensionality reduction.
音楽のジャンル分け kerasで作られたMusic Genre Classification with Deep Learningをchainer用にリメイクしたもの
30 saniyelik bir ses akışından müzik türünü CNN kullanarak sınıflandırın.
Performance comparison of Deep learning and Machine learning models in Music genre classification
Feature-based music genre classification using SVM with Scikit-Learn.
Final project for the NLP class
Audio Pattern Recognition project - Music Genre Classification
Machine Learning mini-projects for students
Classification of music files into 10 genres : ”hip- hop”,”disco”,”country”,”blues”,”jazz”,”classical”,”pop”, ”reggae”,”rock”,”metal”. Dataset used is GTZAN, which includes music form 10 different genres, each having 100 .wav files.
Web-app to automatically classify music by genre.
The multiclass classification sometimes gets poor results. The repository attempts to use comet_ml to grid search and find the best hyperparameters and concatenate different models for training a better model. The goal is to classify the music genres.
Classifies music files by their genres using machine learning algorithms
Classify the music genres with multiple classifiers
Music genre classification on the GTZAN dataset
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