Enhancing Vocal Performance Through Computer-Assisted Training

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Detalhes bibliográficos
Publicado no:	International Journal of Web-Based Learning and Teaching Technologies vol. 20, no. 1 (2025), p. 1-18
Autor principal:	Chen, Liping
Publicado em:	IGI Global
Assuntos:	Teaching Computer assisted instruction > CAI Technological change Collaboration Wavelet transforms Machine learning Signal processing Virtual reality Efficacy Emotions Facial expressions Singers Computers Digital signal processing Fourier transforms Algorithms Apprentices Education Accuracy Pedagogy Training Interdisciplinary aspects Self expression Feedback Longitudinal studies Voice training Experiential learning Customization Vocal range Acoustics Computer Simulation Literature Reviews Intergroup Education Innovation Short Term Memory Artificial Intelligence Instructional Effectiveness Learning Modules Cross Cultural Training Audio Equipment Information Retrieval Influence of Technology Kinesthetic Perception Periodicals Art Expression Time Computer Assisted Instruction Skill Development Training Methods Interdisciplinary Approach
Acesso em linha:	Citation/Abstract Full Text - PDF
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Descrição
Resumo:	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.
ISSN:	1548-1093 1548-1107
DOI:	10.4018/IJWLTT.381310
Fonte:	Engineering Database