基于DFRCT滤波器组自适应语音增强算法

提出一种改进的语音增强方法，将带噪语音信号进行子带分解，再对子带信号进行离散分数余弦变换（DFRCT）域滤波，利用了DFRCT良好的正交特性，且自适应滤波采用最小均方（LMS）算法。对滤波后的信号进行DFRCT逆变换得到增强后的子带语音信号，合成增强后的语音信号。仿真结果表明，该算法在减少输入信号自相关程度的基础上，提高了收敛速度，减少了计算时间（约10 s），增强后的语音信号的分段信噪比（SegSNR）和PESQ值都有所提高，具有良好的语音增强效果。

Method for speech enhancement based on discrete fractional cosine transform and sub-band adaptive filter

This paper presents an improved speech enhancement method,this method decomposes the noisy speech signal into sub-band signals,then filters the sub-band signals using the adaptive filter in Discrete Fractional Cosine Transform(DFRCT)which has good orthogonal properties,and adaptive filter uses Least Mean Square(LMS)algorithm.It obtains the enhanced sub-band speech signals by using inverse discrete fractional cosine transform to the filtered signal.It composes all enhanced sub-bands signal.Simulation experiments indicate that the proposed algorithm reduces the computing time about 10 s and possesses good performance both in SegSNR and PESQ tests.