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An algorithm for multi tempo music lyric transcription

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dc.contributor.author Amoah, Hector
dc.date.accessioned 2019-03-08T09:57:19Z
dc.date.available 2019-03-08T09:57:19Z
dc.date.issued 2018-04
dc.identifier.uri http://hdl.handle.net/20.500.11988/410
dc.description Applied Thesis submitted to the Department of Computer Science, Ashesi University, in partial fulfillment of Bachelor of Science degree in Computer Science, April 2018. en_US
dc.description.abstract This paper documents an attempt to create an algorithm for multi-tempo music lyric transcription. This paper reviews music information retrieval as a field of study and identifies music lyric transcription as a subset of the music information retrieval field. The difficulties of music lyric transcription are highlighted and a gap in knowledge in the field is identified. There are no algorithms for music transcription that are applicable to all forms of music; they are usually specialised by instrument or by genre. The author attempts to fill this gap by creating a method for multi-tempo music lyric transcription. The methodology used to achieve this goal is a three-step process of taking audio as input, processing it using the REPET separation technique, and transcribing the separated audio file. The result of this paper was a relative success, with the music being separated successfully and the lyrics being transcribed but with accuracy lost. en_US
dc.language.iso en_US en_US
dc.publisher Ashesi University en_US
dc.subject lyric transcription en_US
dc.subject multi tempo music lyric transcription en_US
dc.subject REPET separation technique en_US
dc.title An algorithm for multi tempo music lyric transcription en_US
dc.type Thesis en_US


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