摘要
提出一种改进的语音增强方法,利用子带分解对带噪语音信号进行处理,再在离散分数傅里叶变换(DFRFT)域采用最小均方(LMs)自适应算法进行滤波,对滤波后的子带信号进行DFRFT逆变换,最后利用综合滤波器组合成增强后的语音信号。仿真结果表明,本算法明显提高了收敛速度,减少了计算时间。在主客观评价中均具有较好的语音增强效果。
An improved speech enhancement method is presented. The noisy speech signal is decomposed first ly into sub-band signals, then the sub-band signals are filtered by using the LMS（ least mean square） adaptive filter algorithm in DFRFT（ discrete fractional Fourier transform） domain. Then the enhanced sub-band speech signals are obtained by using IDFRFT（ inverse discrete fractional Fourier transform）. Finally all enhanced sub bands signals are composed. Simulation experiments indicate that the proposed algorithm significantly improves the convergence rate, reduces the computing time and possesses good performance both in objective and subjec tive tests.
出处
《测控技术》
CSCD
北大核心
2014年第3期42-44,共3页
Measurement & Control Technology
基金
甘肃省自然科学基金资助项目(1010RJZA065)
