Vocal improvisation using interactive music technology
Bibliographic Data
| ID | 21632344 |
|---|---|
| Authors | Shanhu Wang (0000-0003-3436-1253, Suzhou University, corresponding author) |
| Year | 2024 |
| Volume | 32 |
| Issue | 1 |
| Pages | 245-256 |
| Publication date | 2024-01-02 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Interactive Learning Environments (JOURNAL) |
| Journal identifiers | ISSN: 1049-4820 • E-ISSN: 1744-5191 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/10494820.2022.2084755 |
| OpenAlex | W4293078356 |
| Language | EN |
| Citations received | 3 |
| References cited | 28 |
This paper aims to study the features of vocal improvisation using interactive musical technologies. The survey method contributed to determining the level of vocal skills of 214 respondents auditioned before the experiment. The authors developed a training programme based on previously received information. It included breathing, technical, aesthetic, and vocal improvisation skills. The results showed that 93% of the experimental group believed that interactive technologies had advantages in the educational process, and 63% of the control group believed that they had no advantages. The survey of the students allowed identifying elements that required improvement or changes in the curriculum. The students of the experimental group showed that using national Chinese instruments for accompaniment was important for 32% of the respondents, 27% chose the answer “other”, which included systematic and more frequent cross-sections of knowledge, the involvement of foreign approaches to learning. The calculation of the level of knowledge obtained showed that 88% of the students demonstrated a high level in the experimental group, a low one was only in 2%. Study prospects relate to studying technical and aesthetic elements to be applied during classical and folk vocal performance
Acoustics · Art · Curriculum · Improvisation · Mathematics education · Multimedia · Pedagogy · Singing · Visual arts · Computer Science · Diverse Music Education Insights · Diverse Musicological Studies · Music Technology and Sound Studies · Psychology · Artificial Intelligence
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| Citations per year | 3 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |