Musical note syncopation method and device based on detection of double peak values

Abstract

A musical note segmentation device based on double-peak value detection consists of wave-peak detection module, master control module, musical note segmentation module, storage module and double-peak value decision module. The method of utilizing said device to carry out musical note segmentation based on double-peak value detection is also disclosed.

Description

technical field [0001] The present invention relates to a pitch tracking (Pitch Tracking) technology, in particular to a method for note segmentation and quantization in a pitch tracking and playing system Background technique [0002] Good music can not only cultivate elegant aesthetic taste, but also a very positive way to relieve stress, which plays an important role in modern society. With the development of digital sound processing technology, music creation and preservation methods are also constantly evolving. You can usually hear people humming unconsciously. In fact, humming is the most natural and direct way to make music or music inquiry, which requires adapting the humming signal into a music score and playing it back through a simple device. . In the general humming system, including humming recognition and arrangement, the main force has been focused on improving the accuracy of humming recognition in the past period of time. [0003] Humming recognition, th...

AI Technical Summary

Problems solved by technology

[0005] 1) The results of the pitch tracking method are mostly expressed in the form of graphs, texts, etc., and there is no suitable device to convert the tracking results into sound playback;

[0006] 2) The notes (Note, such as "1, 2, 3, 4, 5, 6, 7--do, re, mi, fa, so, la, xi" in the numbered musical notation) of the pitch tracking device are not accurate enough , pitch recognition is not accurate enough;

[0007]3) The pitch tracking algorithm is too complex, takes up a lot of system memory, often requires a large humming database, and is not suitable for embedded systems

However, this patent has the following disadvantages: 1) the humming signal is only written as a standard score, and the sound cannot be played; 2) the note segmentation of the pitch tracking device is not accurate enough; 3) the note segmentation and recognition algorithm is a statistical Markov model, and requires matching of database parameters, the algorithm is complex, takes up a lot of resources, and cannot be applied to embedded systems, which limits the application of the entire system

However, the patent uses a simple peak detection algorithm, and the note segmentation is not accurate

Images