Music humming searching method conducting matching based on binary approach dynamic time warping

Abstract

The invention discloses a music humming searching method conducting matching based on binary approach dynamic time warping and relates to the technical field of audio searching and humming searching. The method includes two portions: first utilizing musical instrument digital interface (MIDI) music files to build a music data base; then extracting characteristics of a humming fragment, conducting matching based on the binary approach dynamic time warping with a music data base model and returning a searching result. The method includes the following steps: first conducting normalization, band-pass filtering, pre-emphasis, windowing framing and the like on the humming fragment; then conducting silencing section filtering, keynote detection, mid-value smoothing and the like; finally conducting matching based on the binary approach dynamic time warping, sequencing matching rates from the high to the low and returning the result. The method has the advantages of achieving note sequence time point alignment and note relative pitch of music searching and remarkably improving searching hit rate.

Description

technical field [0001] The invention relates to a music humming retrieval method based on binary approximation dynamic time rounding matching, and belongs to the technical field of audio retrieval and humming retrieval. Background technique [0002] The traditional method of retrieving music is text-based retrieval. The current mainstream search engines, such as Baidu, Yahoo, and Google, are very powerful in the field of text retrieval, but the method of retrieving multimedia data is based on text retrieval. It is an inevitable trend in the development of information technology to study more efficient multimedia information retrieval technology based on human communication habits. As one of the important components of multimedia information retrieval, audio retrieval is an important topic in the field of information retrieval technology at home and abroad. [0003] Humming retrieval is a branch of audio retrieval. When a user retrieves a piece of music using a search engin...

AI Technical Summary

Problems solved by technology

This method avoids errors caused by note segmentation, but it also leads to insufficient matching speed

The dynamic time rounding algorithm solves the problem of time point alignment of note sequences, but cannot solve the problem of relative pitch of notes

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