Fuzzy-Controlled Multi-Valve Pneumatic Soprano Recorder Auto-Playing and Score Recognition System

This study introduces advanced improvements to previous methods for automated score recognition and soprano recorder performance, addressing limitations in playback speed, accuracy, and sound quality.The score recognition system now employs an enhanced method for identifying and removing staff lines, which improves the distinction of musical symbols.In addition, a refined approach is used to classify notes by their placement on the staff, supporting accurate pitch assignment and musical sequencing.The playback mechanism has also been upgraded by replacing traditional motor-driven finger actuators with a solenoid-based multi-valve system, which optimizes performance speed and reduces mechanical noise.The recorder's pitch control now incorporates a 9-valve configuration, offering more precise air pressure regulation across an extended range from bass to treble, thereby addressing pitch stability and tonal accuracy issues.Further, automated tuning is achieved through advanced fuzzy control, which significantly enhances tuning speed and fidelity.Experimental results confirm that these refinements enable substantial improvements in tonal precision and overall performance quality for automated soprano recorder systems.

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Publication Details

Journal
Proceedings of International Conference on Artificial Life and Robotics
Published
2025-02-13
DOI
https://doi.org/10.5954/icarob.2025.os7-1
Primary Topic
Time Series Analysis and Forecasting
Type
article
Field-Weighted Citation Impact
0.00

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article

Fuzzy-Controlled Multi-Valve Pneumatic Soprano Recorder Auto-Playing and Score Recognition System

Chian C. Ho, Yuchen Yao, Chung‐Wen Hung, Kuo-Hsien Hsia et al.
Proceedings of International Conference on Artificial Life and Robotics
Time Series Analysis and Forecasting
article

Fuzzy-Controlled Multi-Valve Pneumatic Soprano Recorder Auto-Playing and Score Recognition System

Chian C. Ho, Yuchen Yao, Chung‐Wen Hung, Kuo-Hsien Hsia, Chun‐Chieh Wang
article en

Abstract

This study introduces advanced improvements to previous methods for automated score recognition and soprano recorder performance, addressing limitations in playback speed, accuracy, and sound quality.The score recognition system now employs an enhanced method for identifying and removing staff lines, which improves the distinction of musical symbols.In addition, a refined approach is used to classify notes by their placement on the staff, supporting accurate pitch assignment and musical sequencing.The playback mechanism has also been upgraded by replacing traditional motor-driven finger actuators with a solenoid-based multi-valve system, which optimizes performance speed and reduces mechanical noise.The recorder's pitch control now incorporates a 9-valve configuration, offering more precise air pressure regulation across an extended range from bass to treble, thereby addressing pitch stability and tonal accuracy issues.Further, automated tuning is achieved through advanced fuzzy control, which significantly enhances tuning speed and fidelity.Experimental results confirm that these refinements enable substantial improvements in tonal precision and overall performance quality for automated soprano recorder systems.

Proceedings of International Conference on Artificial Life and RoboticsVol. 30
National Yunlin University of Science and Technology (TW)
National Science and Technology Council
Openalex Percentile: Top 75%
Time Series Analysis and Forecasting
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