摘要
针对谱减法增强语音后残留"音乐噪声"明显,影响语音清晰度的问题,在分析现有的噪声谱减算法基本特性的基础上,提出一种基于噪声短时谱动态估计的语音降噪方法。通过估计噪声短时功率谱及其变化趋势,动态调整谱减法中的过减系数,有效抑制残留噪声。仿真实验表明,新的谱减算法在提高语音信噪比的同时保持较小的失真度,具有较好的增强效果。
In order to reduce musical noise in spectral subtraction method and improve the intelligibility of enhanced speech, the basic characteristics of exiting spectral subtraction were analyzed. A noise-robust method based on dynamic estimation of noise short-time spectrum was proposed. Over-subtraction of spectral subtraction could be modified dynamically to suppress residual noise effectively by estimating noise short-time power spectrum and its trends. Experimental results show that the new spectral subtraction algorithm improves the speech signal to noise ratio while maintaining a smaller distortion and it has good enhancement effect.
出处
《重庆邮电大学学报（自然科学版）》
北大核心
2010年第2期127-130,共4页
Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)
基金
重庆市科委重大科技攻关项目(2008AA6002)
电子信息产业化发展基金(工信部财[2008]355号)~~
关键词
语音识别
语音增强算法
噪声短时谱估计
谱减法
过减系数
speech recognition
speech enhancement algorithm
noise short-time spectrum estimation
spectral subtraction method
over-subtraction factor
