噪音(视频)
计算机科学
平滑的
立体声录音
噪声测量
数值噪声
算法
梯度噪声
协方差矩阵
语音识别
噪声地板
降噪
人工智能
计算机视觉
图像(数学)
作者
Youna Ji,Young-Cheol Park,Dong-Wook Kim,Jeong-Ho Sohn
标识
DOI:10.1109/icassp.2013.6639073
摘要
In this paper, we present an unsupervised noise PSD estimation algorithm for binaural hearing aids in a time-varying diffuse noise field. It is shown that the noise PSD can be obtained from the eigenvalues of the input covariance matrix together with the noise coherence function effective at low frequencies. To reduce the estimation bias due to fast smoothing, pre- and post-compensation methods are proposed. The proposed algorithm is able to track non-stationary noise PSD without tracking delay or underestimation problems. Its performance is independent of the target speech direction and input SNR. Results of the objective parameter evaluation demonstrate the superiority of the proposed algorithm over conventional techniques.
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