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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


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