Abstract
AbstractThis article presents experiments aiming at testing the effectiveness of the implemented low-level descriptors for automatic recognition of musical instruments and musical styles. The paper discusses first some problems in audio information analysis related to MPEG-7-based applications. A short overview of the MPEG-7 standard focused on audio information description is also given. System assumptions for automatic identification of music and musical instrument sounds are presented. A discussion on the influence of descriptor selection process on the classification accuracy is included. Experiments are carried out basing on a decision system employing Rough Sets (RS) and Artificial Neural Networks (ANNs).KeywordsFeature VectorMusical InstrumentMusical SignalMusical SoundSound SampleThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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