|
|
Pitch Perception Assessed by Frequency Difference Limen and Frequency Following Response |
GONG Qin, XU Qin, SUN Wen-sheng |
Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China |
|
|
Abstract The improvement of pitch perception is a hot spot in cochlear implant algorithm research. In order to provide objective and effective guidance for the algorithm research, psychoacoustic method and brainstem frequency following response (FFR) were studied in this paper to assess the ability of pitch perception among young people who exhibited the same normal hearing sensitivity. Eleven Chinese college students participated in both the psychoacoustic experiment and FFR experiment. Using pure tone as the stimulus, psychoacoustic frequency difference limen (FDL) and FFR neural pitch strength were measured. Both of them were used as parameters for evaluating pitch perception ability. FFR pitch strengths were extracted by three different methods which were autocorrelation, chirp z-transform and spectrogram. FFR pitch strengths correlated to a certain extent with FDL results and the FFR pitch strength by autocorrelation showed the highest degree of correlation. The results imply that in the same normal hearing population, features extracted from FFR signal can represent pitch perception ability of subjects. FFR features can be expected to become objective and effective parameters for assessing cochlear implant algorithms.
|
Received: 15 December 2017
|
|
Fund:National Natural Science Foundation of China; grant sponsor: 60871083; grant sponsor: Beijing Natural Science Foundation; grant number:3082012 |
Corresponding Authors:
GONG Qin. E-mail: gongqin@mail.tsinghua.edu.cn
|
|
|
|
[1] Krishnan A, Gandour JT.The role of the auditory brainstem in processing linguistically-relevant pitch patterns[J]. Brain &Language, 2009, 110:135-148. [2] Gfeller K.Recognition of familiar melodies by adult cochlear implant recipients and normal-hearing adults[J]. Cochlear Implants International, 2002, 3(1): 29-53. [3] Matthias Milczynski.Improved fundamental frequency coding in cochlear implant signal processing[J]. Journal of the Acoustical Society of America, 2009, 125(40). [4] Vandali AE, Sucher C, Tsang DJ, et al.peech perception as a function of electrical stimulation rate: Using the nucleus 24 cochlear implant system[J]. Ear Hearing, 2000, 21:608-624. [5] Krishnan A, Bidelman GM, Gandour JT, et al.Neural representation of pitch salience in the human brainstem revealed by psychophysical and electrophysiological indices[J]. Hearing Research, 2000, 268(1-2): 60-66. [6] Krishnan A, Xu YS, Jackson T, et al.Human frequency-following response: representation of pitch contours in Chinese tones[J]. Hearing Research, 2004, 189(1-2): 1-12. [7] Krishnan A, Gandour JT.The role of the auditory brainstem in processing linguistically-relevant pitch patterns[J]. Brain Language, 2009, 110(3): 135-148. [8] Levitt H.Transformed up-down methods in psychoacoustics[J]. Journal of the Acoustical Society of America, 1971, 49(2): 467-477. |
[1] |
Li Baoming, Hu Jiarui, Xu Haijun, Wang Cong, Jiang Yanni, Zhang Zhihong, Xu Jun. Deep Cascaded Network for Automated Detection of Cancer MetastasisRegion from Whole Slide Image of Breast Lymph Node[J]. Chinese Journal of Biomedical Engineering, 2020, 39(3): 257-264. |
[2] |
Xu Jie, Wang Xunheng, Li Lihua. Investigating Brain Networks for ADHD Children Based on Phase Synchronization of Resting State fMRI[J]. Chinese Journal of Biomedical Engineering, 2020, 39(3): 265-270. |
|
|
|
|