An algorithm for multi tempo music lyric transcription
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.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.identifier.uri | http://hdl.handle.net/20.500.11988/410 | |
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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