可理解性(哲学)
立体声录音
计算机科学
助听器
降噪
人工耳蜗植入
语音识别
算法
连贯性(哲学赌博策略)
双耳时差
声学
数学
听力学
人工智能
医学
统计
哲学
物理
认识论
作者
Nima Yousefian,Philipos C. Loizou,John H. L. Hansen
标识
DOI:10.1016/j.specom.2013.11.003
摘要
In this study, we present a novel coherence-based noise reduction technique and show how it can be employed in binaural hearing aid instruments in order to suppress any potential noise present inside a realistic low reverberant environment. The technique is based on particular assumptions on the spatial properties of the target and undesired interfering signals and suppresses (coherent) interferences without prior statistical knowledge of the noise environment. The proposed algorithm is simple, easy to implement and has the advantage of high performance in coping with adverse signal conditions such as scenarios in which competing talkers are present. The technique was assessed by measurements with normal-hearing subjects and the processed outputs in each ear showed significant improvements in terms of speech intelligibility (measured by an adaptive speech reception threshold (SRT) sentence test) over the unprocessed signals (baseline). In a mildly reverberant room with T60=200, the average improvement in SRT obtained relative to the baseline was approximately 6.5 dB. In addition, the proposed algorithm was found to yield higher intelligibility and quality than those obtained by a well-established interaural time difference (ITD)-based speech enhancement algorithm. These attractive features make the proposed method a potential candidate for future use in commercial hearing aid and cochlear implant devices.
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