Methodology for
stage lighting control based on music emotions.
In this study, a variety of music signal feature, music
emotions and color preferences for stage lighting were subsequently studied.
Using the experimental results, a support vector regression (SVR) model was
trained to construct simulations. To increase the realism of the simulations,
we developed an automatic music segment detection methodology based on music
signal intensity to capture the different music strengths and feelings in each
segment. Furthermore, music genres were studied as a factor for developing a
comprehensive automatic stage lighting system based on feelings, genre, and the
intensity of each segment of music.
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