Digital technology empowers innovation in vocal teaching research on performance skill evaluation and personalized teaching path optimization based on multimodal data
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Abstract
Against the dual backdrop of digital transformation in education and high-quality development of art education, traditional vocal teaching has long faced bottlenecks such as strong subjectivity, vague standards, lagging feedback, difficulty in quantification, and insufficient personalization, making it difficult to meet the refined needs of cultivating high-level artistic talents in the new era. Digital technology, multimodal perception, and big data analysis provide a new path for the scientific transformation of vocal teaching The inclusion of electromyographic and respiratory data makes the approach suitable for wearable bioelectrical sensing in vocal-training assessment.
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