Rhythm character indexed digital music data-base based on contents and generation system thereof

Abstract

This invention relates to computer application technique field based on content digital music index characteristics database and generation system, which comprises the following parts: digital musical materials memory part, digital music files reading and rhythm characteristics extracting part, rhythm section characteristic symbol testing part, rhythm characteristic mode generating part and music rhythm characteristic mode database part, wherein, the extracting part reads the music materials files and through rhythm section testing part to test and mark into rhythm mode generating part to get mode data files.

Description

technical field [0001] The invention relates to a database and a system in the field of computer application technology, in particular to a content-based digital music retrieval melody feature database and a generating system. Background technique [0002] The digital music retrieval method based on humming input is referred to as humming retrieval (QBH: Query by Humming), which allows users to retrieve desired songs by humming. As long as the user can recall the melody of the segment and hum it through the microphone, the QBH retrieval system can find the song he needs for the user. For humming retrieval, the melody matching-oriented technologies that have been proposed at home and abroad include: approximate symbol string comparison algorithm, typically such as DP (Dynamic Programming) method and fast approximate matching method, pitch contour geometric matching method and linear alignment approximate melody Matching algorithm LAN (Linear Alignment Mahcing), etc. In thes...

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Problems solved by technology

The linear alignment approximate melody matching algorithm has the advantages of good rhythm fault tolerance and high matching accuracy, but because this document does not deal with how to solve the automatic labeling problem of standard melody segments, and uses the original note sequence as the melody feature data structure, it makes This mobile matching method based on note mobile units has a long response time and is not suitable for retrieval and matching of large-scale digital music libraries.

Therefore, with the increasing scale of the digital music library, the contradiction between the response speed and retrieval accuracy for melody matching retrieval will become increasingly prominent, which will become a major bottleneck for the practical application of the digital music retrieval system based on humming input.

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