30 saniyelik bir ses akışından müzik türünü CNN kullanarak sınıflandırın.
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Updated
May 25, 2024 - Python
30 saniyelik bir ses akışından müzik türünü CNN kullanarak sınıflandırın.
Music Genre Classification using Logistic Regression
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
Audio Pattern Recognition project - Music Genres Classification
Classify the music genres with multiple classifiers
Classifies music files by their genres using machine learning algorithms
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.
Final project for the NLP class
Content-based Audio Classification
This project predicts the genre of .wav music files
Classification of a music sample among 10 genres (rock, jazz, blues...) using several models
Klasifikasi Musik Berdasarkan Genre Menggunakan Metode Weighted K-Nearest Neighbor.
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.
Used CNN to train and build the model. Model saved with tensorflow-keras. Website made with HTML, CSS and Flask as backend.
Ensemble music genre classifier (my BSc thesis)
Using deep learning, CNN neural networks and the GTZAN data set, we designed a system capable of recognizing 10 genres.
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