基于加权噪声的递归平滑噪声功率谱估计

提出了一种噪声功率谱估计算法，该算法对加权后的带噪语音进行递归平滑，可以持续更新噪声并可应用于非平稳噪声环境中。为了避免在强语音后的弱语音区域出现噪声过估计，本文提出了用于计算加权函数的投影平滑算法。本文噪声估计算法可以快速跟踪噪声的变化并且没有过估计。实验结果表明，本文噪声估计算法应用于一个语音增强系统时，取得了较小的噪声分段估计误差及较好的感知语音质量评价(PESQ)得分。

Recursive averaging noise power spectrum estimation based on weighted noise

A noise power spectrum estimation algorithm is presented, which continuously updates the estimated noise by weighted noisy speech for non-stationary noise environments. To avoid noise overestimates in the weak speech regions following strong speech, a projecting smoothing method is developed for weighting factor calculation. The update for varied noise power levels is much faster compared to most other algorithms, and at the same time, noise power spectrum is not overestimated. Experimental results indicate that the proposed noise estimation algorithm yields lower segmental estimation error and better Perceptual Evaluation of Speech Quality(PESQ) scores when integrated in speech enhancement.