摘要
对语音增强方法中经典的谱减法和最小均方误差估计(MMSE)方法进行了阐述和分析。利用自回归平均移动模型(ARMA)的理论对色噪声进行建模,得到基于AR模型的语音增强方法。对几种增强方法在3种色噪声条件下和(-5～5dB)信噪比范围内进行了计算机仿真实验。仿真实验结果表明:基于AR模型方法增强后语音得到了"白化",谐波结构的色噪声得到了有效地抑制,原始语音保留较好。
Some traditional speech enhancement methods are analyzed and compared, which include spectral subtraction and Minimum Mean Square Error method. Then, based on the autoregressive and moving average theory, the color noise is modeled and a new speech enhancement algorithm based on AR model is obtained. In the end, simulation experiments are conducted under three kinds of color noise conditions and within - 5 - 5 dB signal-to-noise ratio range. The experiments demonstrate the good performance of the proposed method, which can whiten the noisy speech and keep the original speech perfect.
出处
《无线电工程》
2010年第9期10-12,64,共4页
Radio Engineering
关键词
语音增强
谱减法
MMSE
AR模型
speech enhancement
spectral subtraction
minimum mean square error
autoregressive model
