Open AccessResearch on Piano Performance Based on Big Data
Author(s) -
Yang Zhang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1533/4/042035
Subject(s) - piano , piano pedagogy , computer science , harmony (color) , enthusiasm , musical , multimedia , field (mathematics) , the internet , musical expression , human–computer interaction , psychology , visual arts , art , world wide web , mathematics , social psychology , pure mathematics , art history
With the continuous development of the Internet era, the sharing of audio and video resources for piano music is more and more obvious; you can easily find the required video and audio. The enthusiasm of the people to learn the piano more and more high, piano teaching market is becoming more and stronger. However, in the field of piano teaching, there are still some pain points: the current teacher resources cannot fully meet the needs of students for piano practice. Therefore, at present, many companies and institutions are beginning to apply computer technology to piano practice. For actual piano teaching scenario, this paper designed and implemented a proprietary hardware, closely integrated with offline teaching scene, simple and easy to use, interactive is strong piano practice system. Based on the change of sound, visual data is obtained, and piano performance is studied by combining professional knowledge, harmony, musical expression terms and other conditions.