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

Author

Ying-Hui Lai ; Yu-Cheng Su ; Yu Tsao ; Shuenn-Tsong Young

Author_Institution

Inst. of Biomed. Eng., Nat. Yang-Ming Univ., Taipei, Taiwan

fYear

2013

fDate

3-6 June 2013

Firstpage

245

Lastpage

246

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

hearing aids; medical disorders; medical signal processing; speech processing; speech recognition; GMAPA speech enhancement algorithm; Generalized Maximum A Posteriori Spectral Amplitude algorithm; digital hearing aids; hearing loss individuals; objective evaluations; received speech SNR level improvement; signal-noise ratio; speech intelligibility enhancement; speech recognition tests; Hearing aids; Niobium; Noise measurement; Signal to noise ratio; Speech; Speech enhancement; Digital Hearing Aids; GMAPA; Long-term SNR; Noise Reduction; Speech Enhancement;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics (ISCE), 2013 IEEE 17th International Symposium on

Conference_Location

Hsinchu

ISSN

0747-668X

Print_ISBN

978-1-4673-6198-9

Type

conf

DOI

10.1109/ISCE.2013.6570208

Filename

6570208