MusicGenreClassification
Classify music genre from a 10-second audio stream using a convolutional neural network trained on mel-frequency spectrograms.
What is MusicGenreClassification?
MusicGenreClassification is a deep learning project that automatically identifies the genre of a 10-second music sample using a convolutional neural network. It solves the problem of music genre classification by processing audio into mel-frequency spectrograms and training a model to distinguish between ten genres. The project serves as a research implementation exploring effective techniques for audio-based machine learning tasks.
Researchers, students, and developers interested in audio signal processing, music information retrieval, and practical applications of convolutional neural networks for classification tasks.
It provides a complete, documented pipeline from dataset collection to model training, using a larger dataset and modern CNN architecture to achieve better results than some earlier academic papers on multi-genre classification.
Overview
Classify music genre from a 10 second sound stream using a Neural Network.
Use Cases
Best For
- Academic research on audio classification with deep learning
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
