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Piano playing scoring system and method thereof

A piano and keyboard technology, applied in the field of voice processing, can solve problems such as self-study effect discount, and achieve the effect of avoiding subjective factor deviation

Active Publication Date: 2018-10-26
SHANDONG YINGCAI UNIV
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

However, without the grading of professionals, beginners do not really know how good their piano performance is, which greatly reduces the effect of self-study

Method used

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  • Piano playing scoring system and method thereof
  • Piano playing scoring system and method thereof
  • Piano playing scoring system and method thereof

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Embodiment Construction

[0027] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.

[0028] The following explains the abbreviations that may appear in the specific implementation:

[0029] CQT (constant Q transform): constant Q transform;

[0030] PKPP (Piano Key Posterior Probability): the posterior probability of the key;

[0031] DTW (Dynamic Time Warping): dynamic time warping;

[0032] CNN (Convolutional Neural Network): Convolutional Neural Network.

[0033] See figure 1 In one embodiment, a piano performance scoring method is provided, which includes the following steps:

[0034] S120, extract the musical characteristics of the performance audio, and normalize them;

[0035] S...

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Abstract

The invention discloses a piano playing scoring system and method thereof. The method comprises following steps of extracting music characteristics of a played audio and carrying out normalization processing on the music characteristics; using the music characteristics subjected to the normalization processing as input of a neural network mathematical model, and acquiring key posterior probabilitycharacteristic sequences of the played audio; carrying out template matching processing on the key posterior probability characteristic sequences of the played audio and a key posterior probability characteristic sequences of a template audio to acquire multiple music characteristics for describing the matching degree so as to judge the played audio; and inputting the music characteristics for describing the matching degree into a piano playing scoring model so as to obtain scoring results. According to the invention, subjective factor deviations caused by personal difference of scorers in atraditional scoring method are avoided; the real level of players is truly reflected; and necessary scores can be provided for autonomous practices of piano learners.

Description

Technical field [0001] The invention relates to the technical field of speech processing, in particular to a scoring system and method for piano performance. Background technique [0002] In recent years, with the improvement of material living standards, people have put forward higher requirements for the quality of spiritual life, and more and more people choose to learn piano. [0003] However, the traditional evaluation of piano performance is carried out by manual scoring method, especially the on-site assessment of piano performance. After the live piano performance is completed, use the form of a table to split the performance content of the test repertoire into specific details, and each scorer will score according to the level of the performer on-site. [0004] Although in order to abandon the personal color of raters’ subjective preferences and dislikes, the final score is determined by adding up the scores of all raters to get the average score, but the inherent defects o...

Claims

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Application Information

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IPC IPC(8): G09B15/00
CPCG09B15/00
Inventor 宋占美刘小林李昕李明伊华
Owner SHANDONG YINGCAI UNIV
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