Title:
Digital Simulation of the Cochlear Implant’s Signal Processing Algorithm Modeled for Speech and Investigation of Methods to Improve Musical Cognition and Recognition
Author(s):
Benjamin Green
Author Email:
bgreen2@unca.edu
Department:
MUSIC
Faculty Mentor(s):
Carolina Perez
Abstract / Summary:
While the Cochlear Implant (CI) has been developed with a focus on drastically improving the recognition of speech in individuals with severe to profound hearing loss, current CI systems often fail to deliver sufficient auditory information for the user to fully appreciate the complexity of musical sounds (McDermott, 2004). Successful music perception demands more sophisticated CI hardware and software, which is an active area of research and development. The focus of this project was to create a simulation of the Digital Signal Processing (DSP) methods used in CIs modeled for speech recognition and then manipulate parameters from this simulation for improved transmission of musical sounds. The DSP simulation algorithm was created in Max/MSP, a visual programming language. The algorithm was manipulated at different stages of the audio signal chain to convey the pitch and timbre of musical material as accurately as possible.
Publication Date:
May-14-2024
Documents: