@inproceedings{2a50a686441645b88ae47a2ca1ea57a1,
title = "Improving the performance of speech perception in noisy environment based on an FAME strategy",
abstract = "Background noise is a significant factor influencing the performance of speech perception. Previous studies showed that the temporal fine structure (TFS) plays an important role in speech perception for normal hearing (NH) and hearing loss individuals. The frequency amplitude modulation encoding (FAME) is a successful approach to enhance the TFS information for cochlear implant (CI) recipients. Following the success of FAME for CI recipients, this study aims to evaluate the speech perception performance of FAME for NH listeners in noisy conditions. Experimental results from the present study confirmed that FAME provides better speech perception performance and lower listening effort for NH listeners than noisy speech. In particular, FAME improved Mandarin disyllabic words recognition by as much as 16.7 percentage points and the ease of listening by 1.6 (MOS scale). This demonstrates that the FAME strategy is promising for improving speech recognition performance for NH listeners in noisy environment.",
keywords = "Frequency amplitude modulation encoding (FAME), Noise reduction, Speech perception",
author = "Lai, {Ying Hui} and Wang, {Syu Siang} and Su, {Yu Ting} and Cheng Han-Che and Fu, {Fan Kang} and Yu Tsao",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; null ; Conference date: 17-10-2016 Through 20-10-2016",
year = "2017",
month = may,
day = "2",
doi = "10.1109/ISCSLP.2016.7918430",
language = "English",
series = "Proceedings of 2016 10th International Symposium on Chinese Spoken Language Processing, ISCSLP 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Hsin-Min Wang and Qingzhi Hou and Yuan Wei and Tan Lee and Jianguo Wei and Lei Xie and Hui Feng and Jianwu Dang and Jianwu Dang",
booktitle = "Proceedings of 2016 10th International Symposium on Chinese Spoken Language Processing, ISCSLP 2016",
address = "United States",
}