Music/lyrics composition system considering user´s image and music genre

This paper proposes a music/lyrics composition system consisting of two sections, a lyric composing section and a music composing section, which considers user´s image of a song and music genre. First of all, a user has an image of music/lyrics to compose. The lyric composing section presents initial lyrics chosen at random from database that is constructed using Markov chain and existent lyrics classified by music genres. If presented lyrics do not fit user´s image, a part of lyrics not fitting user´s image is changed by some other words. When satisfied lyrics are obtained, the music composition section starts. This section composes music fitting lyrics generated by the lyric composing section using the music composition system. And this section generates melody and backing patterns according to music genres. The section presents combinations of lyrics and 16 measures music. A subject evaluates each combination of lyrics and music whether it fits his/her image of a song. According to subject´s evaluation music melody is changed by genetic algorithms and a part of lyrics are changed. These procedures are repeated until satisfied combination of lyrics and music melody is generated. In order to verify the validity of the presented system, subject experiments are performed.