Building a Music Genre Classifier (MGC) using machine learning and applying two different forms of dimensionality reduction.
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Updated
Oct 19, 2021 - Jupyter Notebook
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.
Music AI web-based application.
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
10 genre music genre classification. Comparative and exploratory analysis of the pre-processing routines applied, feature extraction techniques and the models used for identification are enclosed
A deep learning model to classify music audio into 10 genres using Convolutional Neural Networks (CNNs). Achieved over 97% training accuracy and 90% validation accuracy.
Music genre classification on the GTZAN dataset
Music genre classification experiments with Audioset
Classifies music files by their genres using machine learning algorithms
Classify the music genres with multiple classifiers
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.
A ML approach to find genre of a given song file and to recommend similar songs in the same dataset.
Statistical Methods in Artificial Intelligence course project on implementing the paper Music Genre Classification by Haggblade et al (http://cs229.stanford.edu/proj2011/HaggbladeHongKao-MusicGenreClassification.pdf)
Performance comparison of Deep learning and Machine learning models in Music genre classification
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