A chord arrangement detection method based on deep learning

A technology of deep learning and detection methods, which is applied in speech analysis, music teaching aids, instruments, etc., can solve the problems of chord arrangement intelligent detection technology gaps, etc., and achieve the effect of enhancing the efficiency of independent learning, reducing teaching pressure, and solving errors

Active Publication Date: 2021-03-26
XUZHOU NORMAL UNIVERSITY
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

These detection tasks are currently completed manually by teachers, and the intelligent detection technology of chord arrangement using computers is still blank in China

Method used

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  • A chord arrangement detection method based on deep learning
  • A chord arrangement detection method based on deep learning
  • A chord arrangement detection method based on deep learning

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Embodiment Construction

[0023] The specific embodiments of the present invention will be briefly described below in conjunction with the accompanying drawings. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other implementations obtained by those skilled in the art without creative work Examples, all belong to the protection scope of the present invention.

[0024] Figure 1-Figure 2 The preferred embodiment of the present invention is shown, and it is analyzed in detail from different angles.

[0025] Such as Figure 1-2 A chord arrangement detection method based on deep learning is shown. First, through the convolutional neural network, the features of the chord sounds of each part are initially extracted, such as the shape of the note head, the direction of the stem, etc., and the principal component analysis algorithm is used to analyze the features. Dimensional information...

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Abstract

The invention discloses a chord arrangement detection method based on deep learning, and relates to the technical field of chord detection. According to the chord arrangement detection method, a partchord note is subjected to feature extraction by applying a deep learning algorithm, dimensional information is further compressed by using a principal component analysis method, whether a chord is erroneous or not and the type of error are judged and classified by an SVM classifier, notes in the chord with density alignment errors are located by using a target detection algorithm, then the pixeldistance is measured and converted into the interval degree through a predicted frame of adjacent parts, error information is determined based on a chord arrangement rule, and the note with an error is annotated. According to the chord arrangement detection method based on deep learning, workload of a teacher on checking student homework is reduced by means of a voluntary inspection of students, and at the same time the purpose of improving the learning efficiency is achieved.

Description

technical field [0001] The invention relates to the technical field of chord detection, in particular to a method for detecting chord arrangements based on deep learning. Background technique [0002] At present, the courses of music majors are divided into practical courses and theoretical courses. The "music theory", "harmony" and "polyphony" in the theoretical courses of music majors all involve the writing of "harmony (chords)". [0003] Domestic harmony courses generally use "four-part harmony" - there are four parts in the joint staff composed of treble clef and bass clef, two parts of treble clef (treble part and alto part), Bass clef in two parts (tenor and bass). Three or more notes are combined vertically according to the three-degree superposition relationship to form a chord, which is the vertical structure of the general four-part harmony. In four-part harmony writing, triads have dense and open arrangements, and seventh chords have dense, open and mixed arran...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G10L25/51G10L25/30G09B15/00
CPCG09B15/00G10L25/30G10L25/51
Inventor 朱媛媛郭威于贺
Owner XUZHOU NORMAL UNIVERSITY
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