Abstract: Aiming to the problem that the clean speech phase is replaced by the noisy speech phase when reconstructing the waveform in the traditional single-channel speech enhancement methods, which leads to the poor subjective perception quality of the speech, a speech enhancement algorithm with improved phase spectrum compensation is proposed. Firstly, the Sigmoid phase-spectral compensation function which is based on the signal to noise ratio of each frame input speech is presented in this paper, it can flexibly compensate the phase spectrum of the noisy according to the change of noise. Next, it estimates noise power spectrum through combining a priori SNR estimation of the improved DD and Speech Presence Probability algorithm（SPP）. Finally, Wiener filtering is applied to improve speech enhancement effect by combining the new speech presence probability noise power spectrum estimation and phase spectrum compensation. Compared to the traditional Phase Spectrum Compensation（PSC） algorithm, the improved algorithm can effectively suppress the noise in the audio signal, and then enhance the perceived quality of the speech and improve speech intelligibility.

Key words: phase spectrum compensation, power spectrum estimation, priori signal-to-noise ratio, speech enhancement

摘要： 针对传统单通道语音增强方法中用带噪语音相位代替纯净语音相位重建时域信号，使得语音主观感知质量改善受限的情况，提出了一种改进相位谱补偿的语音增强算法。该算法提出了基于每帧语音输入信噪比的Sigmoid型相位谱补偿函数，能够根据噪声的变化来灵活地对带噪语音的相位谱进行补偿；结合改进DD的先验信噪比估计与语音存在概率算法（SPP）来估计噪声功率谱；在维纳滤波中结合新的语音存在概率噪声功率谱估计与相位谱补偿来提高语音的增强效果。相比传统相位谱补偿（PSC）算法而言，改进算法可以有效抑制音频信号中的各类噪声，同时增强语音信号感知质量，提升语音的可懂度。

关键词: 相位谱补偿, 功率谱估计, 先验信噪比, 语音增强