超短波信号语音信号增强算法研究

Study on Speech Enhancement Algorithm of Ultrashort Wave Signal

在日常生活中人与人之间的交流离不开语音,在部队日常工作乃至作战活动中也和语音密切相关,语音也是传递信息的重要介质,它是一种它是一种时变、非平稳的随机信号。我们在进行交流和通信过程中会受到来自周围环境噪声的干扰和影响。那么去除掉噪声,提取出对我们有用的信息对于我们的工作来说意义非凡。本文一是通过IIR巴特沃斯低通滤波器对语音信号进行预处理,二是运用matlab卡尔曼滤波法,小波阈值去噪,谱减法分别进行去噪仿真绘制去噪前后信号波形对比,并计算信噪比。

In daily life,the communication between people is inseparable from voice,which is also closely related to voice in the daily work of the army and even in combat activities.Voice is also an important medium for transmitting information.It is a time-varying,non-stationary random signal.In the process of communication,we will be disturbed and affected by noise from the surroundings.So removing noise and extracting useful information for us is of great significance to our work.The specific work done in this paper is as follows:1.The speech signal is preprocessed by IIR Butterworth low-pass filter.2.Using matlab Kalman filter,wavelet threshold de-noising and spectral subtraction,the signal waveforms before and after de-noising are simulated and compared,and the signal-to-noise ratio is calculated.