Music retrieval method and apparatus

Abstract

Embodiments of the invention provide a music retrieval method and apparatus. The method comprises the steps of obtaining a fundamental frequency sequence corresponding to a humming melody; performing fast Fourier transform on the fundamental frequency sequence, comparing the transformed fundamental frequency sequence with music pre-stored in a music information library, and obtaining a first candidate music set according to a comparison result; filtering the music in the first candidate music set by utilizing a piecewise aggregate approximation (PPA) distance method to obtain a second candidate music set; and processing the music in the second candidate music set to obtain and display a music retrieval result. According to the embodiments of the invention, the music retrieval efficiency can be improved, the waiting time of a user can be shortened, the system resource consumption can be reduced, and the system processing capability can be improved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of data processing, and in particular to a music retrieval method and device. Background technique [0002] Content-based audio retrieval (English full name is ContentBasedMusicInformationRetrieval, English abbreviation CBMIR) is a new music retrieval method, which is different from the traditional text retrieval method. Content-based audio retrieval uses the characteristics of music itself to automatically classify and match it. , thus replacing the way of text description to retrieve music, bringing more convenience and better user experience to users. Humming retrieval (English full name is QueryBySinging / Humming, English abbreviation is QBSH) is a content-based audio retrieval method. Great convenience. [0003] However, in order to achieve higher accuracy, humming retrieval usually adopts a very complex similarity calculation method, which results in longer retrieval time and...

AI Technical Summary

Problems solved by technology

Using the above hardware optimization method, when dealing with massive music information, there is a problem of high system resource consumption

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