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.
Amoah, H (2021). An Algorithm for Multi Tempo Music Lyric Transcription. Afribary. Retrieved from https://tracking.afribary.com/works/an-algorithm-for-multi-tempo-music-lyric-transcription
Amoah, Hector "An Algorithm for Multi Tempo Music Lyric Transcription" Afribary. Afribary, 01 Apr. 2021, https://tracking.afribary.com/works/an-algorithm-for-multi-tempo-music-lyric-transcription. Accessed 24 Nov. 2024.
Amoah, Hector . "An Algorithm for Multi Tempo Music Lyric Transcription". Afribary, Afribary, 01 Apr. 2021. Web. 24 Nov. 2024. < https://tracking.afribary.com/works/an-algorithm-for-multi-tempo-music-lyric-transcription >.
Amoah, Hector . "An Algorithm for Multi Tempo Music Lyric Transcription" Afribary (2021). Accessed November 24, 2024. https://tracking.afribary.com/works/an-algorithm-for-multi-tempo-music-lyric-transcription