人工耳蜗植入
噪音(视频)
降噪
言语感知
心理声学
还原(数学)
信噪比(成像)
计算机科学
语音识别
声学
听力学
数学
医学
感知
电信
人工智能
心理学
物理
几何学
神经科学
图像(数学)
作者
Stefan J. Mauger,Pam W. Dawson,Adam A. Hersbach
出处
期刊:Journal of the Acoustical Society of America
[Acoustical Society of America]
日期:2012-01-01
卷期号:131 (1): 327-336
被引量:59
摘要
Noise reduction in cochlear implants has achieved significant speech perception improvements through spectral subtraction and signal-to-noise ratio based noise reduction techniques. Current methods use gain functions derived through mathematical optimization or motivated by normal listening psychoacoustic experiments. Although these gain functions have been able to improve speech perception, recent studies have indicated that they are not optimal for cochlear implant noise reduction. This study systematically investigates cochlear implant recipients’ speech perception and listening preference of noise reduction with a range of gain functions. Results suggest an advantageous gain function and show that gain functions currently used for noise reduction are not optimal for cochlear implant recipients. Using the cochlear implant optimised gain function, a 27% improvement over the current advanced combination encoder (ACE) stimulation strategy in speech weighted noise and a 7% improvement over current noise reduction strategies were observed in babble noise conditions. The optimized gain function was also most preferred by cochlear implant recipients. The CI specific gain function derived from this study can be easily incorporated into existing noise reduction strategies, to further improve listening performance for CI recipients in challenging environments.
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