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

A dynamic time normalization and bisection approximation technology, applied in speech analysis, speech recognition, special data processing applications, etc., can solve the problem of insufficient matching speed, unable to solve the problem of relative pitch of notes, and achieve the effect of solving the problem of relative pitch of notes

Inactive Publication Date: 2014-02-05
CENT SOUTH UNIV
View PDF3 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Music humming searching method conducting matching based on binary approach dynamic time warping
  • Music humming searching method conducting matching based on binary approach dynamic time warping
  • Music humming searching method conducting matching based on binary approach dynamic time warping

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0071] The present invention proposes a music retrieval method based on binary approximation and dynamic time rounding. The method mainly includes two parts. The first part is to construct a music database through MIDI music files. The second part is to extract the features of the humming melody segment, and perform matching with the music database model based on binary approximation dynamic time normalization and return the retrieval results. This part mainly includes the following steps: firstly, normalize the humming melody segment , audio denoising, pre-emphasis, windowing and framing and other processing to obtain basic features; then perform operations such as filtering out silent segments, pitch detection, and median smoothing to obtain advanced features of humming melody segments; finally humming melody The advanced features extracted from the clips are matched with the template features of the music database one by one based on binary approximation dynamic time roundin...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G10L15/02G10L15/08
CPCG06F16/634G10L15/02G10L15/08
Inventor 邹北骥周义洪王磊
Owner CENT SOUTH UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products