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Research Article

Enhancing Vocal Performance using Variational Onsager Neural Network and Optimized with Golden Search Optimization Algorithm

Article: 2340389 | Received 03 Oct 2023, Accepted 29 Mar 2024, Published online: 24 Apr 2024

Figures & data

Figure 1. Block diagram illustrating the proposed SMATS-AI-VONN-GSOA methodology for optimizing vocal training.

Figure 1. Block diagram illustrating the proposed SMATS-AI-VONN-GSOA methodology for optimizing vocal training.

Figure 2. Flowchart depicting the Golden Search Optimization (GSO) algorithm used to optimize the Variational Onsager Neural Network (VONN) within the SMATS-AI-VONNGSOA framework.

Figure 2. Flowchart depicting the Golden Search Optimization (GSO) algorithm used to optimize the Variational Onsager Neural Network (VONN) within the SMATS-AI-VONNGSOA framework.

Table 1. Analysis of pitch accuracy demonstrating a significant improvement.

Table 2. Analysis of control demonstrating a significant improvement.

Table 3. Analysis of range demonstrating a significant improvement.

Table 4. Analysis of tonal quality demonstrating a significant improvement.

Table 5. Analysis of mean rating square.

Table 6. Analysis of breath control.

Table 7. Analysis of spectral analysis.

Table 8. Comparing singing performance before and after using the proposed SMATS-VONN-GSOA-UAI model.

Data Availability Statement

Data sharing does not apply to this article as no new data have been created or analyzed in this study.