Date Thesis Awarded
Honors Thesis -- Open Access
Bachelors of Science (BS)
Greg Jerome Bowers
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.
Deisz, Kevin D., "Musically Understanding the Emotional Content of Speech" (2013). Undergraduate Honors Theses. William & Mary. Paper 615.
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