Multi-sensory research of singing visualization in pre-school music education

ABSTRACT

The research aim was to develop a visual training simulator with real-time audio correction using the Python programing language and reference audio files classified library. Depending on the melody perception and playback level, the learning pace increases from the minimum. The desired result is affected by the repetitions number. The designed simulator having real-time visualization option allows estimating results and errors. The proposed methodology practical value can be effective for preschool educational institutions music teaching and other music schools and universities music subjects. Further research will be devoted to this technique improvement using virtual reality methods.

KEYWORDS:

• Solfeggio teaching
• multimedia method of teaching vocal music
• audio visualization
• pyAudio classifier

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by 2020 Zhejiang Province Educational Science Planning Project Study on Multisensory Linkage of Visual Singing Visualization in Music Courses of Preschool Education [grant number 2020SCG036].

Notes on contributors

Xiaoxing Zhang

Xiaoxing Zhang is a Doctor, Director of art teaching and research section of the School of Teacher Education of Huzhou University in Huzhou, China. His research interests include music education and teaching. The last researches of Zhang Xiaoxing were on educational, pedagogical and music topics.