Tree Model of Symbolic Music for Tonality Guessing

D. Rizo, J.M. Iñesta, and P.J. Ponce de León (Spain)


Applications in multimedia, music information retrieval, tonality, cognitive modeling


Most of the western tonal music is based on the concept of tonality or key. It is often desirable to know the tonality of a song stored in a symbolic format (digital scores), both for content based management and musicological studies to name just two applications. The majority of the freely available symbolic music is coded in MIDI format. But, unfortunately many MIDI sequences do not contain the proper key meta-event that should be manually inserted at the beginning of the song. In this work, a polyphonic sym bolic music representation that uses a tree model for tonal ity guessing is proposed. It has been compared to other previous methods available obtaining better success rates and lower performance times.

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