Emotion Based MIDI Files Retrieval System

This chapter presents a query answering system (QAS) associated with MIDI music database and a query language which atomic expressions represent various types of emotions. System for automatic indexing of music by emotions is one of the main modules of QAS. Its construction required building a training database, manual indexation of learning instances, finding a collection of features describing musical segments, and finally building classifiers. A hierarchical model of emotions consisting of two levels, L1 and L2, was used. A collection of harmonic and rhythmic attributes extracted from music files allowed emotion detection in music with an average of 83% accuracy at the level L1. The presented QAS is a collection of personalized search engines (PSE), each one based on a personalized system for automatic indexing of music by emotions. In order to use QAS, user profile has to be built and compared to representative profiles of PSE′s. The nearest one is identified and used in answering user query.

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