CAJ | 학술논문

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。
제출료일충조성공솔보고계산법，해산법대가권후적대조어음진행체귀평활，가이지속경신조성병가응용우비평은조성배경중。위료피면재강어음후적약어음구역출현조성과고계，본문제출료용우계산가권함수적투영평활산법。본문조성고계산법가이쾌속근종조성적변화병차몰유과고계。실험결과표명，본문조성고계산법응용우일개어음증강계통시，취득료교소적조성분단고계오차급교호적감지어음질량평개(PESQ)득분。
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.