Interactive Music Summarization Based on Generative Theory of Tonal Music
Interactive Music Summarization Based on Generative Theory of Tonal Music
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基于音调音乐生成理论的互动音乐摘要
DOI:
10.1076/jnmr.32.2.165.16744
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发表时间:
2003
影响因子:
1.1
通讯作者:
Shu Matsuda
中科院分区:
文献类型:
--
作者:
K. Hirata;Shu Matsuda
This paper presents an algorithm that checks for melodic similarity and a music summarization system called “Papipuun.” First, we developed a data structure for representing polyphony based on a time-span reduction in the generative theory of tonal music (GTTM) and the deductive object-oriented database (DOOD). A least upper bound operation is introduced to check the similarity of polyphonies represented in our method. Next, Papipuun performs quick listening in a manner similar to stylus skipping on a scratched record, but the skipping occurs correctly at punctuations of musical phrases, not arbitrarily. Papipuun can produce a music summary of good quality with a symbolic approach, reflecting the atmosphere of an entire piece through interaction with the user. In a pre-processing phase of Papipuun, a user analyzes an input piece by time-span reduction, using a dedicated tool called TS-Editor. For the real-time phase, the user interacts with the main system, Summarizer, to perform music summarization. The summarizer ascertains a piece structure by similarity checking. When the user identifies fragments to be skipped, Summarizer deletes them and concatenates the rest.