Evaluation of Two Automatic Algorithms in Detecting Human Frequency-Following Responses
Abstract
The purpose of this study is to evaluate two automatic algorithms for performance in detecting Frequency Following Response (FFR) which is the neurological response that the brain makes in response to a sound.
Status
Graduate
Department
Hearing, Speech and Language Sciences
College
College of Health Sciences and Professions
Campus
Athens
Faculty Mentor
Jeng, Fuh-Cherng
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
COinS
Evaluation of Two Automatic Algorithms in Detecting Human Frequency-Following Responses
The purpose of this study is to evaluate two automatic algorithms for performance in detecting Frequency Following Response (FFR) which is the neurological response that the brain makes in response to a sound.