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Application and Effectiveness Analysis of Transfer Learning Algorithm in Vocal Skill Enhancement

Jing Xiao

Jing Xiao

Shanghai Jian Qiao UniversityShanghai, China
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Xiao, Jing
 e 
Xiaoyuan Shi

Xiaoyuan Shi

Shijiazhuang UniversityShijiazhuang, China
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Shi, Xiaoyuan
  
05 feb 2025
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Pubblicato online: 05 feb 2025
Ricevuto: 18 set 2024
Accettato: 20 dic 2024
DOI: https://doi.org/10.2478/amns-2025-0081
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© 2025 Jing Xiao et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

Overall flow chart of sound training pronunciation test based on IVGG
Overall flow chart of sound training pronunciation test based on IVGG

Figure 2.

Sound training pronunciation test flow chart based on IVGG
Sound training pronunciation test flow chart based on IVGG

Figure 3.

The pronunciation category confusion matrix under scheme 1
The pronunciation category confusion matrix under scheme 1

Figure 4.

The pronunciation category confusion matrix under scheme 2
The pronunciation category confusion matrix under scheme 2

Figure 5.

Comparison analysis of the experimental class and the comparison group
Comparison analysis of the experimental class and the comparison group

Figure 6.

Comparative analysis of the results of the comparison group
Comparative analysis of the results of the comparison group

Figure 7.

The experimental results were compared and analyzed
The experimental results were compared and analyzed

Figure 8.

Comparison analysis of experimental class and comparison class
Comparison analysis of experimental class and comparison class

Hum training pronunciation characteristics recognition rate

Scheme Recognition rate/%
Baseline Automatic This method
Solution 1 60.55 32.68 81.33
Solution 2 53.26 24.78 65.32
Lingua:
Inglese
Frequenza di pubblicazione:
1 volte all'anno
Argomenti della rivista:
Scienze biologiche, Scienze della vita, altro, Matematica, Matematica applicata, Matematica generale, Fisica, Fisica, altro
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