Music Tutor: Application of Chord Recognition in Music Teaching

Liu, Shiguang

doi:10.1109/conf-spml54095.2021.00038

2021 International Conference on Signal Processing and Machine Learning (CONF-SPML) 2021

DOI: 10.1109/conf-spml54095.2021.00038

|View full text |Cite

Music Tutor: Application of Chord Recognition in Music Teaching

Shiguang Liu

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Research on Pattern Recognition Technology for Music Teaching and Optimization of Its Teaching Framework

Yin,

2024

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

This paper proposes music rhythm perception technology and music automatic classification technology, respectively, which are pattern recognition technologies for music teaching. The short-time Fourier transform is used to analyze the audio information, transform the acoustic spectrogram into a Mel spectrogram, build the convolutional neural network architecture, and process the spectrogram sequentially to realize the automatic classification of music. The music signal is preprocessed to remove noise using normalization, and a new histogram-based method is proposed to detect music rhythms by analyzing and modeling the music beat sequence. This paper uses S High School in Qujing City, Yunnan Province, China, as the research site to implement pattern recognition technology in teaching practice. The experimental class’s music scores increased from 50.18 before the experiment to 64.52, which was higher than the control class’s, with a 28.58% increase. The experimental class’s mean values in the sentence and paragraph dimensions of music rhythmic sense, the mean values of the experimental class were 0.73 and 0.65 higher than those of the control class, showing significant differences (P<0.05). All dimensions of music core literacy, except opera knowledge and general knowledge of musical instruments, also showed significant differences (P<0.05).

show abstract

Research on Pattern Recognition Technology for Music Teaching and Optimization of Its Teaching Framework

Yin,

2024

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Music Tutor: Application of Chord Recognition in Music Teaching

Cited by 1 publication

References 2 publications

Research on Pattern Recognition Technology for Music Teaching and Optimization of Its Teaching Framework

Research on Pattern Recognition Technology for Music Teaching and Optimization of Its Teaching Framework

Contact Info

Product

Resources

About