Method for extracting pitch and value in sound of musical instrument sound based on data set

Abstract

The invention discloses a method for extracting pitches and value in musical instrument sound based on a data set, and mainly solves the problem that a traditional method in the prior art is good in performance in the field of single-tone recognition and subdivision, but is relatively weak in performance in the field of complex-tone recognition. The method for extracting the pitch and the value in the musical instrument sound based on the data set comprises the following steps: a digital music score is registered into a digital music score library by selecting the digital music score; the music score played by the player is registered in the digital sound library; and a construction method for matching the category label sequence with the sound features to form a sound feature-music element data set. The invention discloses the method for extracting the pitch and the value in the musical instrument sound based on the data set and a system. According to the scheme, the value information and the pitch information of the digital sound signal generated by the musical instrument playing are extracted by using the supervised machine learning model, and the music elements in the compound tone can be well extracted, so that the method has very high practical value and popularization value.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method, system and equipment for extracting pitch and duration information from musical instrument sounds. Background technique [0002] Pitch and time value information are two basic and important elements in music. The performance analysis or automatic transcription of any musical instrument needs to be based on pitch and time value; traditional methods involving digital signal processing for music analysis mainly Use artificial rules to make logical judgments and extract relevant music elements. [0003] For example pitch analysis typically uses fundamental frequency estimation. The traditional method performs well in the field of monophonic recognition subdivision, but its performance in the field of polyphonic recognition is relatively weak, and it cannot extract the pitch and duration of the sound well. Contents of the invention [0004] The purpose of the present i...

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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for extracting pitch and time value in musical instrument sounds based on data sets, so as to solve the problem that traditional methods have good performance in the field of monophonic recognition subdivision, but have poor performance in the field of polyphonic recognition. Issues with relatively weak performance

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