Abstract
The traditional vocal music teaching model has been unable to meet the needs of today’s vocal music teaching, and the promotion and improvement of the online vocal music teaching model is imperative. Due to the influence of various factors (online equipment, environmental noise, etc.), there are certain defects in the timbre of online vocal music teaching, which cannot guarantee the effect of vocal music teaching. Preprocess the timbre signal of online vocal music teaching (remove mute segment, pre-emphasis and windowing), and based on this, extract timbre signal features (time domain feature, frequency domain feature and cepstral domain feature). In this paper, a feature comparison model of timbre signal is constructed to reduce the dimension of timbre signal feature vector. It adopts SAGA algorithm to determine the timbre evaluation formula of online vocal music teaching, and realizes the evaluation of timbre of online vocal music teaching. The experimental data show that compared with the reference standard, the complete rate of timbre signal feature extraction and the correct rate of timbre evaluation obtained by the proposed method are higher. The experimental results fully confirm the effectiveness and feasibility of the proposed method.
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Funding
1. Excellent Top-notch Talent Cultivation Project of Universities in Anhui Province: Research on the Construction of inner Vision in Vocal Music Singing under the Vision of “The Belt and Road” (GXYQ2020164)
2. Humanities and Social Science Key Projects of Education Department of Anhui Province:Research on the Transmutation of Female Characters in Contemporary Chinese National Opera (SK2020A327)
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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Wang, R., Qi, J., Qiao, D. (2022). An Online Vocal Music Teaching Timbre Evaluation Method Based on Feature Comparison. In: Fu, W., Sun, G. (eds) e-Learning, e-Education, and Online Training. eLEOT 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 454. Springer, Cham. https://doi.org/10.1007/978-3-031-21164-5_37
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DOI: https://doi.org/10.1007/978-3-031-21164-5_37
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