Table of Contents
Music Informatics
Members
Research focus topics and daily updates can be found on members' personal websites.
Research Network
Activities
Development of AMUSE (Advanced MUSic Explorer)
- Java open source framework for different MIR tasks
- Multi-tool extendable environment with shared interfaces and data interchange formats
- Algorithm evaluation and optimization methods
CI Methods for Music Information Retrieval
- Optimization of music classification chain
- Intelligent feature selection methods
- Learning of personal music categories
- Fuzzy methods using high-level feature analysis
Music Test Database
For the evaluation of music classification tasks we use a database of 120 commercial music albums purchased for our research group. The CDs are distributed among 6 AllMusicGuide genres:
| Classic | Electronica | Jazz | Pop/Rock | R&B | Rap | |
|---|---|---|---|---|---|---|
| CD number | 15 | 15 | 15 | 45 | 15 | 15 |
- Test set OS120 (optimization set for experiments, with focus on evolutionary multi-objective feature selection)
- Test set TS120 (song-independent test set from the same albums as OS120 for the evaluation of optimized models)
- Test set TAS120 (artist-independent test set with the same genre distribution)
The following audio features are used for classification (for definitions and the difference between low-level and high-level features see https://eldorado.tu-dortmund.de/handle/2003/30402)
Instrument Sample Database
Currently, the following instrument samples are used for the experiments on instrument recognition: