基于高斯过程模型的语音增强

Speech Enhancement Based on Gaussian Process Model

针对信号处理领域的语音活动探测问题,提出一种基于高斯过程先验假设的概率方法,用于增强语音。利用高斯过程模型的后验概率来估计纯净语音,使用在学习过程中得到的高斯过程模型的参数探测语音活动。实验结果表明,该方法对于在白噪声和有色噪声环境下的语音有较好的增强效果。

Aiming at the problem of Voice Activity Detection（VAD） in signal process area, this paper presents a probabilistic method employing Gaussian Process（GP） prior to deal with speech enhancement. Clean speech is estimated by posterior probability calculated with GP model, while VAD is solved by the scale of one hyperparameter of GP model estimated in learning process. Experimental results show,good performance ofthis method for white and colored noise.