Generating Music from Literature
This work addresses the need for automated music generation from literature, with applications in information visualization, audio-visual e-books, and music apps, but it appears incremental as it builds on known relations between music and emotions.
The authors tackled the problem of automatically generating music from text by developing TransProse, which uses emotional analysis to map text to musical elements like tempo and scale, resulting in a system that produces musical pieces based on the emotional activity in the input text.
We present a system, TransProse, that automatically generates musical pieces from text. TransProse uses known relations between elements of music such as tempo and scale, and the emotions they evoke. Further, it uses a novel mechanism to determine sequences of notes that capture the emotional activity in the text. The work has applications in information visualization, in creating audio-visual e-books, and in developing music apps.