The Databionic MusicMiner is a browser for music based on data mining techniques. You can create MusicMaps to visualize the similarity of songs and artists. Explore your music and create playlists based on the paradigm of geographical maps! Features include:
- Automatic parsing of a folder tree with music files (MP3, OGG, WMA, M4A, MP2, WAV).
- Automatic description of digital audio files by sound.
- Creation of MusicMaps to navigate the sound space based on the paradigm of geographical maps.
- Visual creation of playlists.
- Similarity search in music collection based on sound.
- Customizable hierarchichal browsing of the database by e.g. genre/artist/album or year/artist.
- Flexible database including the seperate storage of several artists per song, albums and playlists as part of a playlist.
- Import and export of meta information based on XML.
Creator:This system was developed by the Databionics Research Group at the University of Marburg, Germany. This group has released a number of open source tools that perform data mining tasks such as clustering, visualization and classification with Emergent Self-Organizing Maps. There’s a paper giving an overview of their toolkit here: ESOM-Maps: Tools for clustering, visualization, and classification with Emergent SOM
More Info
- Project Page:: Databionic MusicMiner
- Modelling timbre distance with temporal statistics from polyphonic music, IEEE Transactions on Speech and Audio Processing
- Databionic visualization of music collections according to perceptual distance, Proceedings 6th International Conference on Music Information Retrieval (ISMIR 2005)
- MusicMiner: Visualizing perceptual distances of music as topograpical maps
