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A study of speech recognition technology as an aid to timbre accuracy and pitch control in vocal music teaching

Mingdi Chen

Mingdi Chen

Sichuan University of Science & EngineeringZigong, China
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Chen, Mingdi
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Xinying Li

Xinying Li

Sichuan University of Science & EngineeringZigong, China
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Li, Xinying
  
Sep 24, 2025
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Published Online: Sep 24, 2025
Received: Jan 26, 2025
Accepted: Apr 27, 2025
DOI: https://doi.org/10.2478/amns-2025-0950
Keywords
© 2025 Jing Chen, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

The structure of one dimensional convolution neural network
The structure of one dimensional convolution neural network

Figure 2.

Flow chart of recognition
Flow chart of recognition

Figure 3.

The MCD results of 16 students
The MCD results of 16 students

Figure 4.

The MOS results of 16 students
The MOS results of 16 students

Figure 5.

The contrast of the base frequency trajectory
The contrast of the base frequency trajectory

Figure 6.

The score comparison of control group
The score comparison of control group

Figure 7.

The score comparison of experimental group
The score comparison of experimental group

Scoring results

Tester umber Exercise meloda a o e i u Pitch control
8 Algorithm scoring 75.68 85.54 76.58 86.38 68.55 85.71
Expert scoring 79 81 74 83 80 88
Average error 1.824%
0 Algorithm scoring 53.58 63.36 13.85 12.88 12.35 58.66
Expert scoring 46 62 14 13 11 60
Average error 2.681%
Language:
English
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Journal Subjects:
Life Sciences, Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics, Physics, other
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