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Enhancing Music Interaction through Automatic Melody Transposition Based on User Vocal Pitch.
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| dc.contributor.author | Weerakoon, Asini | |
| dc.date.accessioned | 2025-06-05T03:24:48Z | |
| dc.date.available | 2025-06-05T03:24:48Z | |
| dc.date.issued | 2024 | |
| dc.identifier.citation | Weerakoon, Asini (2024) Enhancing Music Interaction through Automatic Melody Transposition Based on User Vocal Pitch. . BSc. Dissertation, Informatics Institute of Technology | en_US |
| dc.identifier.issn | 20200501 | |
| dc.identifier.uri | http://dlib.iit.ac.lk/xmlui/handle/123456789/2423 | |
| dc.description.abstract | The aim of this project is to develop an automated melody transposition system based on users voice pitch that enhances musical creativity and user involvement. It evaluates the user's voice while they sing, altering the melody to fit the vocal range and improving the singing experience with unique musical arrangements. | en_US |
| dc.language.iso | en | en_US |
| dc.subject | Music Interaction | en_US |
| dc.subject | Convolutional Neural Network | en_US |
| dc.subject | Pitch Transposition | en_US |
| dc.title | Enhancing Music Interaction through Automatic Melody Transposition Based on User Vocal Pitch. | en_US |
| dc.type | Thesis | en_US |
