musicTagging_MSD
Music tagger
This project is an audio classification system trained on the MSD tagging dataset, enabling automatic tagging of music files with relevant genres and styles.
7 stars
3 watching
3 forks
Language: Python
last commit: about 9 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
| Research code for music auto-tagging using deep learning and feature extraction | 23 | |
| Research on end-to-end learning for music audio tagging using large datasets and different front-end paradigms. | 149 | |
| A Haskell implementation of generating and playing back audio files using a music generation tutorial | 134 | |
| Classifies music genres based on audio features using a deep learning model | 68 | |
| Automatically categorizes music genres using deep learning algorithms | 1,099 | |
| A music notation language and compiler to MIDI | 119 | |
| A system for audio classification and detection using machine learning models | 4 | |
| A daemon-based music player that stores and manages audio files, allowing remote control and retrieval of metadata. | 2,200 | |
| A comprehensive collection of resources and tools for improving music listening experiences | 765 | |
| Generates polyphonic music from scratch or based on user input using a neural network architecture | 1,863 | |
| Research code for deep neural networks in music genre recognition | 22 | |
| A tool to track music listening habits and display personalized statistics. | 1,211 | |
| Generates music samples using a neural network-based algorithm | 666 | |
| Automates video file conversion and metadata tagging to create a uniform media library | 1,536 | |
| Automates media file tagging based on metadata from Plex Media Server | 147 |