Musical-Noise-Free Speech Enhancement Based on Optimized Iterative Spectral Subtraction
Musical-Noise-Free Speech Enhancement Based on Optimized Iterative Spectral Subtraction
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DOI：
10.1109/tasl.2012.2196513
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发表时间：
2012-09
期刊：
影响因子：
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通讯作者：
Ryoichi Miyazaki;H. Saruwatari;Takayuki Inoue;Yu Takahashi;K. Shikano;Kazunobu Kondo
中科院分区：
文献类型：
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作者：
Ryoichi Miyazaki;H. Saruwatari;Takayuki Inoue;Yu Takahashi;K. Shikano;Kazunobu Kondo
在本文中，我们对迭代谱减法中的音乐噪声量及其产生最少音乐噪声的优化方法进行了理论分析。为了实现低音乐噪声的高质量降噪，提出了迭代谱减法，即迭代应用弱非线性信号处理。尽管该方法的有效性已通过实验报告，但尚未进行理论研究。因此，本文通过跟踪噪声频谱峰度的变化来制定音乐噪声的生成过程，并比较不同参数设置但达到相同噪声衰减水平的音乐噪声量。此外，我们从理论上推导出不产生音乐噪声的最佳内部参数。已经澄清的是，找到峰度的固定点会产生无音乐噪声特性。与常用降噪方法的对比实验表明了该方法的有效性。
In this paper, we provide a theoretical analysis of the amount of musical noise in iterative spectral subtraction, and its optimization method for the least musical noise generation. To achieve high-quality noise reduction with low musical noise, iterative spectral subtraction, i.e., iteratively applied weak nonlinear signal processing, has been proposed. Although the effectiveness of the method has been reported experimentally, there have been no theoretical studies. Therefore, in this paper, we formulate the generation process of musical noise by tracing the change in kurtosis of noise spectra, and conduct a comparison of the amount of musical noise for different parameter settings but the same achieved level of noise attenuation. Furthermore, we theoretically derive the optimal internal parameters that generate no musical noise. It is clarified that to find a fixed point in kurtosis yields the no-musical-noise property. Comparative experiments with commonly used noise reduction methods show the proposed method's efficacy.