A piano teaching method based on big data and neural network

A neural network and big data technology, applied in the field of audio-visual equipment, can solve the problems of poor teaching effect, poor pertinence and low efficiency of teaching methods

Inactive Publication Date: 2021-09-24
HENAN POLYTECHNIC UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Traditional piano teaching is mostly through the teacher's manual guidance and error correction. This teaching and practice method is relatively inefficient, and students of different regions, ages, and genders have different music genre preferences due to their own living environment or learning style. and habits, the existing teaching methods are poorly targeted and the teaching effect is not good

Method used

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  • A piano teaching method based on big data and neural network

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Embodiment Construction

[0021] In order to further understand the content, features and effects of the present invention, the following examples are given, and detailed descriptions are given below with reference to the accompanying drawings.

[0022] The structure of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0023] A piano teaching method based on big data and neural network includes:

[0024] S101. Upload the piano teaching repertoire, online store database and offline store database to the cloud large database server;

[0025] S102. Process the digital music files uploaded to the cloud large database server to form a unified format and divide them into frames, perform DFT transformation on each frame signal to calculate the amplitude spectrum, then transform the amplitude spectrum into the Mel domain with the Mel scale, and pass through equal bandwidth After the Mel filter bank is filtered, the output energy of the filter is superimpo...

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Abstract

The invention discloses a piano teaching method based on big data and neural network, which classifies the beats of audio files, uses the training BP neural network to classify and identify different piano music genres, and adopts Thayer's two-dimensional emotion model to convert the emotion of music The types are divided into four categories: happy, relaxed, sad and angry. The digital music files are stored in different storage layers, and the differences are added with identity information tags. The large cloud database will compare the differences in beats and timbres in each segment and The corresponding music file fragments in the large cloud database are fed back to the teaching terminal. According to the scores of piano practice results of different rhythms, genres, and emotions, combined with identity information of different regions, ages, and genders, similarity evaluations of different priority levels can be carried out according to identity information. The evaluation of teaching results is more targeted and can be based on user preferences. Music content, find the music content closest to it for practice recommendation.

Description

technical field [0001] The invention belongs to the field of audio-visual equipment, and in particular relates to a piano teaching method based on big data and a neural network. Background technique [0002] Traditional piano teaching is mostly through the teacher's manual guidance and error correction. This teaching and practice method is relatively inefficient, and students of different regions, ages, and genders have different music genre preferences due to their own living environment or learning style. and habits, the existing teaching methods are poorly targeted and the teaching effect is not good. Contents of the invention [0003] Aiming at the problems existing in the prior art, the present invention provides a piano teaching method based on big data and neural network. [0004] The present invention is achieved in that a kind of piano teaching method based on big data and neural network comprises: [0005] Step 1. Upload the piano teaching repertoire, online st...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/65G06F16/61G06F16/683G06F16/68G06N3/04G06Q10/06G06Q50/20G09B15/00
CPCG06Q10/06393G06Q50/205G09B15/00G10H2210/076G10H2210/071G10H2210/091G10H2210/036G06N3/045
Inventor 仇博陈振奎侯凤霞刘祥国马红义屈静
Owner HENAN POLYTECHNIC UNIV
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