Evaluation of generalized maximum a posteriori spectral amplitude (GMAPA) speech enhancement algorithm in hearing aids

Ying Hui Lai, Yu Cheng Su, Yu Tsao, Shuenn Tsong Young

研究成果: Conference contribution同行評審

7 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013
頁面245-246
頁數2
DOIs
出版狀態Published - 2013
事件2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013 - Hsinchu, Taiwan
持續時間: 3 6月 20136 6月 2013

出版系列

名字Proceedings of the International Symposium on Consumer Electronics, ISCE

Conference

Conference2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013
國家/地區Taiwan
城市Hsinchu
期間3/06/136/06/13

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