Show simple item record

dc.contributor.authorCaldera, HTS
dc.contributor.authorVIdanage, BVKI
dc.date.accessioned2024-03-25T09:25:35Z
dc.date.available2024-03-25T09:25:35Z
dc.date.issued2024-01-17
dc.identifier.urihttp://ir.kdu.ac.lk/handle/345/7517
dc.description.abstractThis comprehensive review navigates the transformative potential of AI-driven tech- nologies in vocal training and music education, with a focus on Voice Matching and Personalized Singing Improvement. It precisely explores a diverse array of subjects, providing a nuanced and insightful overview of the current state of knowledge in this dynamic field. By examining the AI’s role in vocal training and music education, this review strategically identifies current gaps and limitations, proposing an innovative approach to systematically address these constraints. By bridging theoretical comprehension with a practical implementation, it significantly contributes to the advancement of both realms. The review not only sheds light on existing research but also lights up paths for future exploration, making it a valuable resource for future research endeavours. It underscores the transformative possibilities that AI holds for personalized singing improvement and voice matching, opening opportunities for innovative approaches that could shape the future of music education.en_US
dc.language.isoenen_US
dc.subjectAI-driven vocal trainingen_US
dc.subjectPersonalized singing improvementen_US
dc.subjectArtificial intelligenceen_US
dc.subjectVoice matchingen_US
dc.subjectMachine learningen_US
dc.titleAI-Driven Voice Training and Singing Improvement: A Comprehensive Literature Reviewen_US
dc.typeArticle Abstracten_US
dc.identifier.facultyFaculty of Computingen_US
dc.identifier.journal4 th Student Symposium of Faculty of Computingen_US
dc.identifier.pgnos7en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record