Skip to Main Content
 

Global Search Box

 
 
 

ETD Abstract Container

Abstract Header

An Automated Response Detection Procedure for Human Frequency Following Response Elicited by Voice Pitch

Hu, Jiong
http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1375179233

Abstract Details

2013, Doctor of Philosophy (PhD), Ohio University, Hearing Science (Health Sciences and Professions).
Frequency following response (FFR) has received a fair amount of attention in recent years. Researchers have probed different aspects of the response and yet, in most of those studies, the presence of such a response is based on subjective interpretations of examiners. Aside from a sole recent report examining two algorithms for detecting FFRs, there have been a very limited number of attempts to further develop a sound automated procedure for detecting FFRs. The purpose of this study was to (a) develop an automated procedure derived from response detection algorithms that are based upon the statistical properties of both the temporal and spectral energy distributions in the recorded waveforms, and (b) explore the effectiveness, accuracy, and efficiency of the automated procedure.
Fuh-Cherng Jeng (Committee Chair)
111 p.
Audiology
FFR; Automated Response Detection; Voice Pitch;

Recommended Citations

Citations

  • Hu, J. (2013). An Automated Response Detection Procedure for Human Frequency Following Response Elicited by Voice Pitch [Doctoral dissertation, Ohio University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1375179233

    APA Style (7th edition)

  • Hu, Jiong. An Automated Response Detection Procedure for Human Frequency Following Response Elicited by Voice Pitch. 2013. Ohio University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1375179233.

    MLA Style (8th edition)

  • Hu, Jiong. "An Automated Response Detection Procedure for Human Frequency Following Response Elicited by Voice Pitch." Doctoral dissertation, Ohio University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1375179233

    Chicago Manual of Style (17th edition)

ohiou1375179233
1,599
© 2013, all rights reserved.
This open access ETD is published by Ohio University and OhioLINK.
Release 3.2.12