Date Thesis Awarded
7-2013
Access Type
Honors Thesis -- Access Restricted On-Campus Only
Degree Name
Bachelors of Science (BS)
Department
Music
Advisor
Greg Jerome Bowers
Committee Members
Timothy Mauthe
Paul Bhasin
Evgenia Smirni
Abstract
The purpose of this project is to explore the relationship between affect in speech and music in the context of a live, interactive system. I posit that through the creation of a relationship between the emotional content of speech and music, intrinsic information can be gathered with respect to both the emotion in the speech and the created music, i.e., more can be understood about the speech itself and there is a depth added to the musical composition. Broadly, this is a study in cognitive science; it is an application that searches for a method that can represent emotions in speech both parametrically (through measuring and quantifying input) and musically (through synthesis and composition). Within cognitive science, this project falls under three distinct fields: psychology and neuroscience, computer science, and music. Within the fields of psychology and neuroscience, this project requires the understanding of the implications of inflection and affect in speech. Within the field of computer science, this project creates an input for speech into the program, processes and translates the speech, and outputs the music. Finally, the field of music defines terms by which the parameters given by the program can be translated into an approachable and understandable auditory composition.
Recommended Citation
Deisz, Kevin D., "Musically Understanding the Emotional Content of Speech" (2013). Undergraduate Honors Theses. William & Mary. Paper 615.
https://scholarworks.wm.edu/honorstheses/615
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
Comments
Thesis is part of Honors ETD pilot project, 2008-2013. Migrated from Dspace in 2016.