Novel Sensing Methods for Vocal Technique Analysis: Evaluation on Electromyography and Ultrasonography

Controlling vocal cord muscles is crucial for vocal performance and training, yet it is challenging to measure. This paper introduces electromyography (EMG) and ultrasonography to detect vocal muscle activity and assess pitch training skills. A pre-experiment with 16 participants analyzed muscle control discrepancies among singers of different skill levels. A subsequent user study with 12 participants evaluated EMG and ultrasonography feedback effectiveness. Findings indicate that EMG offers better temporal stability representation, while ultrasonography provides intuitive visual feedback on vocal cord activity. Both methods show potential in enhancing vocal control, offering insights for designing effective and non-invasive vocal training systems.

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Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/ismar-adjunct64951.2024.00034
Primary Topic
Speech Recognition and Synthesis
Type
article
Field-Weighted Citation Impact
0.00

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Novel Sensing Methods for Vocal Technique Analysis: Evaluation on Electromyography and Ultrasonography

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Novel Sensing Methods for Vocal Technique Analysis: Evaluation on Electromyography and Ultrasonography

Kanyu Chen, Akira Kato, Yichen Peng, Kai S. Kunze, Hideki Koike, Daichi Saito, Erwin Wu, Chen-Chieh Liao
article en

Abstract

Controlling vocal cord muscles is crucial for vocal performance and training, yet it is challenging to measure. This paper introduces electromyography (EMG) and ultrasonography to detect vocal muscle activity and assess pitch training skills. A pre-experiment with 16 participants analyzed muscle control discrepancies among singers of different skill levels. A subsequent user study with 12 participants evaluated EMG and ultrasonography feedback effectiveness. Findings indicate that EMG offers better temporal stability representation, while ultrasonography provides intuitive visual feedback on vocal cord activity. Both methods show potential in enhancing vocal control, offering insights for designing effective and non-invasive vocal training systems.

Tokyo Institute of Technology (JP), Keio University (JP)
Tokyo Institute of Technology
Openalex Percentile: Top 80%
Speech Recognition and Synthesis
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