Research on piano performance strength evaluation system based on gesture recognition

Yu, Zhichao; Yang, Baohai

doi:10.1109/icicta51737.2020.00049

Cited by 2 publications

(1 citation statement)

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“…With the arrival of the era of artificial intelligence, digital processing technology to further promote the development of music system to the direction of intelligence, people have a deeper pursuit of music, hope that the computer can "understand" the content of music, and replace professionals to complete music classification, music personality recommendation, music creation and other work [2]. Therefore, the application of artificial intelligence in music singing to assist people to complete music singing is a research direction combining computer technology, signal digital processing, and musicology [3,4].…”

Section: Introductionmentioning

confidence: 99%

Music Singing Based on Computer Analog Piano Accompaniment and Digital Processing for 5G Industrial Internet of Things

Liu

2022

Mobile Information Systems

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At present, most professional music colleges and universities have made large-scale investment in computer software and hardware equipment and have also continuously opened various relevant courses. However, how to give full play to the advantages of computer music at the software level and make software and hardware systems suitable for music education application is still a subject being explored. The industrial Internet of Things turns every link and equipment in the production process into a data terminal, comprehensively collects the underlying basic data, carries out deeper data analysis and mining, and improves efficiency. To adapt to the trend of the times, digitization is the inevitable trend of the development of music accompaniment, and the deep integration of computer is an important way to realize digitization. Combined with the basic music theory and digital processing method, this paper designs the virtual piano auxiliary accompaniment and realizes the digital music accompaniment of artificial intelligence through digital signal processing. This paper will start with the auditory effect of auxiliary singing, take the rhythm and style of piano auxiliary accompaniment as the research object, build the accompaniment generation tool through the piano music simulation system model, and generate the accompaniment chord of the main melody by extracting the style, treble, and other characteristics of the main melody. The simulation results show that the frequency response is evenly distributed, the model effectively uses the harmonic structure information, and the extracted feature dimension is only 88. The reduction of feature dimension can save the time of subsequent processing and has the characteristics of real time, automation, embedded (software), security, and information interoperability.

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Section: Introductionmentioning

confidence: 99%

Music Singing Based on Computer Analog Piano Accompaniment and Digital Processing for 5G Industrial Internet of Things

Liu

2022

Mobile Information Systems

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Optimization of Piano Performance Teaching Mode Using Network Big Data Analysis Technology

Wei,

Sun

2024

International Journal of Information and Communication Technology Education

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To effectively avoid subjective bias in manual evaluation. This article proposes a MIDI piano teaching performance evaluation method based on bidirectional LSTM. This method utilizes a three-layer bidirectional LSTM neural network mechanism to make it easier for the model to capture useful information. In addition, the Spark clustering training model is constructed using the deeplearning4j deep learning framework, and the model parameters are adjusted through the UI dependency relationships provided by deeplearning4j to improve work efficiency. The experimental results verified the superiority of the bidirectional LSTM model. The methods provided in this article can improve students' independent practical abilities and reduce the pressure on teachers during the teaching process. These measures can promote the development of music education, improve students' music literacy and learning skills, and make positive contributions to the music education industry.

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Research on piano performance strength evaluation system based on gesture recognition

Cited by 2 publications

References 0 publications

Music Singing Based on Computer Analog Piano Accompaniment and Digital Processing for 5G Industrial Internet of Things

Music Singing Based on Computer Analog Piano Accompaniment and Digital Processing for 5G Industrial Internet of Things

Optimization of Piano Performance Teaching Mode Using Network Big Data Analysis Technology

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