@inproceedings{a920790f0f8140c4ac60c7b9b703c33b,
title = "Evaluation of generalized maximum a posteriori spectral amplitude (GMAPA) speech enhancement algorithm in hearing aids",
abstract = "Speech enhancement is an important segment in digital hearing aids, which aims to improve signal-to-noise (SNR) level of received speech signals and thus enhance speech intelligibility for hearing-loss individuals. Recently, we proposed a generalized maximum a posteriori spectral amplitude (GMAPA) speech enhancement algorithm. The proposed GMAPA algorithm has been confirmed effective in a series of objective evaluations and speech recognition tests. In this study, we conduct experiments and observe that GMAPA also provides clear long-term SNR increases in a simulated hearing-aids testing condition. The result demonstrates that GMAPA can be suitably applied in digital hearing aids.",
keywords = "Digital Hearing Aids, GMAPA, Long-term SNR, Noise Reduction, Speech Enhancement",
author = "Lai, {Ying Hui} and Su, {Yu Cheng} and Yu Tsao and Young, {Shuenn Tsong}",
year = "2013",
doi = "10.1109/ISCE.2013.6570208",
language = "English",
isbn = "9781467361996",
series = "Proceedings of the International Symposium on Consumer Electronics, ISCE",
pages = "245--246",
booktitle = "2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013",
note = "null ; Conference date: 03-06-2013 Through 06-06-2013",
}
