摘要
为了使得MELP声码器在高噪声环境下仍然获得较好的语音效果,需对含噪声语音进行语音增强。本文采用谱减法和独立分量分析相结合方法,对语音进行增强。该方法可以在不增加语音采样硬件的条件下,满足独立分量分析中观测信号的数目不少于源信号数目的约束条件。结果表明,该方法能较好的分离出噪声和语音信号,增强输入到MELP声码器中的语音信号,提高MELP声码器在高噪声环境下应用的语音效果。
To get better hearing performance in strong noise environment,MELP vocoder should have the ability to reduce the noise mixed into the speech. The method combining spectral subtraction technique with independent component analysis is employed for noise reduction in this paper. The restructured speech and the original noised speech act as the observed signals to fulfil the constraint condition of ICA that is the number of observed signals must be greater than or equal to source signals.Then,the ICA algorithm is applied to get purer speech from original noised speech. The presented method can obey the constraints for application of ICA,without increasing the complexity of data acquisition circuit.Simulation results show that good effect of noise reduction is achieved,and the presented method can be applied to MELP vocoder used in strong noise environment to improve the speech quality without additional hardware.
出处
《数字技术与应用》
2013年第12期52-54,57,共4页
Digital Technology & Application
基金
福建省科技计划重点项目(2013H0029)
厦门市科技计划项目(3502Z0113015)
