Conference Paper

Tree-Structured Representation of Musical Information.

Conference: Pattern Recognition and Image Analysis, First Iberian Conference, IbPRIA 2003, Puerto de Andratx, Mallorca, Spain, June 4-6, 2003, Proceedings
Source: DBLP
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    ABSTRACT: 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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    ABSTRACT: This abstract describes the four methods presented by us with the objective of obtaining a good trade-off between accuracy and processing time [3]. Three of them are based on a summarization of the input musical data: the tree rep-resentation approach [5, 6] (UA T-RI2, and UA T3-RI3), and the quantized point-pattern representation [1] (UA PR -RI4). The fourth method is an ensemble of methods [4] (UA C-RI1). The summarization methods are expected to be faster than approaches dealing with raw representations of data. The ensemble combines different approaches try-ing to be more robust and are expected to give equal or bet-ter accuracy than the summarization methods. Thousands of different parametrizations of those methods are possi-ble. The parameters of the presented methods are chosen based on previous experiments.

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