About
TransProse is a project by Hannah Davis. It is the first iteration of a program that finds different emotions throughout text and programmatically creates music with a similar emotional tone.
Hannah Davis is a programmer/artist/musician based in New York City.
Website: www.hannahishere.com
Twitter: @ahandvanish
Using natural language processing, TransProse reads in text and determines densities of eight different emotions (joy, sadness, anger, disgust, anticipation, surprise, trust, and fear) and two different states (positive or negative) throughout the novel. The musical piece chronologically follows the novel. It uses the emotion density data to determine the tempo, key, notes, octaves, etc. for the piece depending on different rules and parameters. The pieces are available for download at https://transprose.bandcamp.com/album/first-iteration
Feel free to reach out for any commercial, personal, or artistic projects.
This application makes use of the NRC Word-Emotion Association Lexicon, created by Saif Mohammad and Peter Turney at the National Research Council Canada. Many thanks to Saif in particular for ongoing support and conversation.
Hannah Davis is a programmer/artist/musician based in New York City.
Website: www.hannahishere.com
Twitter: @ahandvanish
Using natural language processing, TransProse reads in text and determines densities of eight different emotions (joy, sadness, anger, disgust, anticipation, surprise, trust, and fear) and two different states (positive or negative) throughout the novel. The musical piece chronologically follows the novel. It uses the emotion density data to determine the tempo, key, notes, octaves, etc. for the piece depending on different rules and parameters. The pieces are available for download at https://transprose.bandcamp.com/album/first-iteration
Feel free to reach out for any commercial, personal, or artistic projects.
This application makes use of the NRC Word-Emotion Association Lexicon, created by Saif Mohammad and Peter Turney at the National Research Council Canada. Many thanks to Saif in particular for ongoing support and conversation.
Generating Music from Literature
Hannah Davis and Saif Mohammad
Presented at EACL 2014 in Gothenburg, Sweden
Presented at EACL 2014 in Gothenburg, Sweden
| transprose.pdf |
Thesis Presentation on the First Iteration (2013):
Additional Thanks:
Thanks also to Jesse Spielman for incredible technical help and David Koelle for the amazing JFugue library.
Thanks also to Jesse Spielman for incredible technical help and David Koelle for the amazing JFugue library.
