A Novel Hiss Noise Reduction Method for Audio Signals Based on MDCT

摘要：

A kind of hiss noise reduction method used for audio signal is proposed by Modified Discrete Cosine Transform (MDCT) in this paper. The human auditory model and the parametric soft-thresholding are introduced to the proposed method. A modified median absolute deviation (MAD) is first adopted to avoid overestimate of noise levels. Next, the Modified Discrete Fourier Transform (MDFT) is constructed using the pre-enhanced MDCT coefficients and the masking threshold and the adaptive masking parameters are calculated in MDFT domain. Finally, a parametric soft-thresholding method is employed to attenuate hiss noise significantly and keep more high-frequency (HF) information. The objective and subjective listening test results show that the proposed algorithm outperforms the referenced methods.

关键词： hiss noise reduction MDCT MAD human auditory model MDFT parametric soft-thresholding

作者: Feng Deng Chang-chun Bao Bing-yin Xia Yan Liang

作者单位: Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineer Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineer

会议类型: 国际会议

会议名称: 2011年无线通信与信号处理国际会议(WCSP 2011)

会议地点: 南京

会议语种:英文

页码: 1-5

在线出版日期: 2011-11-09（万方平台首次上网日期，不代表论文的发表时间）