Humming retrieval system for massive music data

Abstract

The invention discloses a humming retrieval system for massive music data. The system comprises a template feature extraction module which is used for extracting melody features in a database templatefile; the humming feature extraction module is used for extracting melody features of the humming file; the retrieval module is used for retrieving the pitch vector of the template; the effective alignment position detection module is used for acquiring an effective alignment position; and the matching module is used for matching the query pitch curve with the template pitch curve to obtain a candidate song list. On one hand, the number of pitch vectors is greatly reduced by detecting feature points in the template feature extraction module and the humming feature extraction module; on one hand, in the effective alignment position detection module, an effective alignment position detection method is utilized, the matching frequency is reduced to a great extent, and the retrieval speed isincreased; on the other hand, in the matching module, the improved DTW algorithm is used for solving the problem of accurate local humming of the user, and the retrieval accuracy is improved.

Description

technical field [0001] The invention relates to the fields of digital signal processing technology, basic music theory and machine learning technology, and in particular to a humming retrieval system for massive music data. Background technique [0002] With the rapid development of large-capacity digital storage and digital music technology, content-based multimedia search technology has gradually become a topic of concern to researchers. In the context of the rapid popularization of the Internet and the development of storage devices, the digital music resources that users can obtain have increased rapidly. How to retrieve and obtain the music that users need from the massive music database has become an urgent problem to be solved, which has also created the humming retrieval system. appear. [0003] The traditional humming retrieval system for massive music data has the following deficiencies: [0004] 1. There are redundant template pitch vectors and query pitch vecto...

AI Technical Summary

Problems solved by technology

[0004] 1. There are redundant template pitch vectors and query pitch vectors, resulting in an increase in the number of matches;

[0005] 2. The alignment position of the pitch vector is not filtered, resulting in many invalid matches;

[0006] 3. Matching is performed under the condition that the two ends of the query pitch curve are not really aligned in the template pitch curve, resulting in large errors at both ends and low matching accuracy;

[0007] 4. Unable to deal with the problem of partial accuracy of humming

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