【摘要】 在幅度平方谱模型下,利用语音和噪声信号的幅度平方谱服从指数分布,结合由后验信噪比不确定性决定的后验语音存在概率来更新噪声功率谱估计,很好地抑制了噪声且避免了语音信号失真。仿真实验结果表明:本文方法能够准确跟踪噪声功率谱、快速跟踪噪声功率谱变化,可以在一定程度上提高增强后语音信号的质量。更多还原

【Abstract】 Using the magnitude-square spectrum model and the exponential probability densities of the magnitude-square spectrum of the clean speech and noise.The new method updates the noise power spectrum estimation using the posteriori speech presence probability by incorporating aposteriori signal to noise ratio uncertainty.It can suppress effectively the background noise without introducing speech distortion.The simulation results reveal that the new method is characterized by tracking noise power spectrum accurately and following quickly abrupt changes in the noise spectrum.The quality of enhanced speech signal is improved in a certain extent.following quickly abrupt changes in the noise spectrum.The quality of the enhanced speech signal is improved in a certain extent.更多还原