Single channel speech enhancement utilizing iterative processing of multi-band spectral subtraction algorithm
Single channel speech enhancement utilizing iterative processing of multi-band spectral subtraction algorithm
复制标题
利用多频带频谱减法算法迭代处理的单通道语音增强
DOI：
10.1109/icpces.2012.6508064
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
A. Karmakar
中科院分区：
文献类型：
--
作者：
Navneet Upadhyay;A. Karmakar
谱减法是单通道语音增强的常用方法。该方法的基本原理是通过从含噪语音频谱中减去估计的噪声来估计语音的短时谱幅度，并将其与含噪语音的相位相结合。除了降低噪声之外，这种方法还产生了一种不自然和令人不愉快的噪声，称为残余噪声。本文提出了一种新的算法来减少残余噪声，从而提高增强语音的整体质量。该算法将多波段谱减法（MBSS）的输出信号再次作为下一次迭代的输入信号。在MBSS方法之后，将加性噪声转化为残余噪声。在每次迭代时重新估计残余噪声。此外，新的估计噪声被用于处理下一个MBSS。此过程迭代了少量次数。仿真结果和非正式的主观评价证明，该算法增强的语音比传统的MBSS算法更令人愉快。实验结果表明，该算法有效地降低了残余噪声，提高了语音质量和信噪比。
The spectral subtraction method is a conventional approach for single channel speech enhancement. The basic principle of this method is to estimate the short-time spectral magnitude of speech by subtracting estimated noise from the noisy speech spectrum and to combines it with the phase of the noisy speech. Besides reducing the noise, this method generates an unnatural and unpleasant noise, called remnant noise. This paper proposes a novel algorithm to reduce the remnant noise, and thus improving the overall quality of the enhanced speech. In this algorithm, the output of multi-band spectral subtraction (MBSS) method is used as the input signal again for next iteration process. After the MBSS method, the additive noise is changed to remnant noise. The remnant noise is re-estimated at each iteration. The new estimated noise, furthermore, is been used to process the next MBSS. This procedure is iterated a small number of times. The simulation results as well as informal subjective evaluations prove that the speech enhanced by proposed algorithm is more pleasant to listeners than the conventional MBSS algorithm. This reveals that the proposed algorithm reduces remnant noise satisfactorily and produces good speech quality with improved signal-to-noise ratio.