关键词: 相位谱补偿, 功率谱估计, 先验信噪比, 语音增强

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