基于频带间相关性的加权噪声功率谱估计

Weighted noise power spectrum estimation based on the inter-frequency correlation

摘要:

噪声功率谱估计是语音增强系统的一个重要组成部分。本文在加权噪声估计的基础上，考虑了带噪语音在相邻频带间的相关性，提出了一种新的噪声功率谱估计算法。该算法保留了加权噪声估计算法的优点，利用频域平滑及时域平滑后的带噪语音来求加权因子，能够更好地区分弱语音与噪声，尤其是对强语音后的弱语音与噪声区分更明显，从而具有更快的跟踪速度及更少的噪声过估计。客观实验和主观实验都证实了本文提出的算法的有效性。

Abstract:

Noise power spectrum estimation is a fundamental component of speech enhancement. An improved weighted noise power estimation algorithm is proposed in the paper by taking into account the correlation of inter-frequency in the noisy speech. Because of calculating the weighting factor from the time domain and frequency domain smoothed noisy speech, the new presented algorithm can distinguish noise and weak speech more accurately, especially in the weak speech regions following strong speech. The tracking delay and the overestimates are all considerably reduced compared to competitive noise tracking algorithms. Objective experimental results and a subjective comparison show that the improved noise estimation algorithm is preferred to other noise estimation algorithms when integrated in speech enhancement.