Using Silent Intervals of Frequency-Following Responses to Train a Non-Negative Matrix Factorization Machine Learning Algorithm
Abstract
Investigate effects of silent interval on noise-based NMF algorithm.
Keywords:
Audiology
Co-presenters
Kassy Hickman
Status
G
Department
Rehabilitation and Communication Sciences
College
College of Health Sciences and Professions
Campus
Athens
Faculty Mentor
Jeng, Fuh
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
COinS
Using Silent Intervals of Frequency-Following Responses to Train a Non-Negative Matrix Factorization Machine Learning Algorithm
Investigate effects of silent interval on noise-based NMF algorithm.