Enhancing Vocal Performance Through Computer-Assisted Training
Збережено в:
| Опубліковано в:: | International Journal of Web-Based Learning and Teaching Technologies vol. 20, no. 1 (2025), p. 1-18 |
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| Автор: | |
| Опубліковано: |
IGI Global
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| Предмети: | |
| Онлайн доступ: | Citation/Abstract Full Text - PDF |
| Теги: |
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| 001 | 3222668941 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1548-1093 | ||
| 022 | |a 1548-1107 | ||
| 024 | 7 | |a 10.4018/IJWLTT.381310 |2 doi | |
| 035 | |a 3222668941 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 100 | 1 | |a Chen, Liping |u Xiamen Huaxia University, China | |
| 245 | 1 | |a Enhancing Vocal Performance Through Computer-Assisted Training | |
| 260 | |b IGI Global |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a In the evolving landscape of vocal pedagogy, the integration of computer-assisted technologies represents a transformative shift from traditional master-apprentice models. This study investigates the efficacy of computer-assisted vocal training methods compared to conventional approaches, focusing on improvements in pitch accuracy, vocal range expansion, and emotional expression among novice vocalists. Utilizing a mixed-methods approach, including digital signal processing, machine learning, and virtual reality, the authors conducted a 12-week experiment involving 60 participants randomly divided into two groups. Results indicate that computer-assisted training offers nearly double the improvement in pitch accuracy and vocal range expansion over traditional methods, with more pronounced enhancements in emotional expression skills. These findings contribute significantly to developing standardized, personalized, and scientifically-grounded vocal training methodologies, demonstrating a more efficient pathway for enhancing vocal performance. | |
| 653 | |a Teaching | ||
| 653 | |a Computer assisted instruction--CAI | ||
| 653 | |a Technological change | ||
| 653 | |a Collaboration | ||
| 653 | |a Wavelet transforms | ||
| 653 | |a Machine learning | ||
| 653 | |a Signal processing | ||
| 653 | |a Virtual reality | ||
| 653 | |a Efficacy | ||
| 653 | |a Emotions | ||
| 653 | |a Facial expressions | ||
| 653 | |a Singers | ||
| 653 | |a Computers | ||
| 653 | |a Digital signal processing | ||
| 653 | |a Fourier transforms | ||
| 653 | |a Algorithms | ||
| 653 | |a Apprentices | ||
| 653 | |a Education | ||
| 653 | |a Accuracy | ||
| 653 | |a Pedagogy | ||
| 653 | |a Training | ||
| 653 | |a Interdisciplinary aspects | ||
| 653 | |a Self expression | ||
| 653 | |a Feedback | ||
| 653 | |a Longitudinal studies | ||
| 653 | |a Voice training | ||
| 653 | |a Experiential learning | ||
| 653 | |a Customization | ||
| 653 | |a Vocal range | ||
| 653 | |a Acoustics | ||
| 653 | |a Computer Simulation | ||
| 653 | |a Literature Reviews | ||
| 653 | |a Intergroup Education | ||
| 653 | |a Innovation | ||
| 653 | |a Short Term Memory | ||
| 653 | |a Artificial Intelligence | ||
| 653 | |a Instructional Effectiveness | ||
| 653 | |a Learning Modules | ||
| 653 | |a Cross Cultural Training | ||
| 653 | |a Audio Equipment | ||
| 653 | |a Information Retrieval | ||
| 653 | |a Influence of Technology | ||
| 653 | |a Kinesthetic Perception | ||
| 653 | |a Periodicals | ||
| 653 | |a Art Expression | ||
| 653 | |a Time | ||
| 653 | |a Computer Assisted Instruction | ||
| 653 | |a Skill Development | ||
| 653 | |a Training Methods | ||
| 653 | |a Interdisciplinary Approach | ||
| 773 | 0 | |t International Journal of Web-Based Learning and Teaching Technologies |g vol. 20, no. 1 (2025), p. 1-18 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3222668941/abstract/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3222668941/fulltextPDF/embedded/H09TXR3UUZB2ISDL?source=fedsrch |