摘要
提出了一种基于小波多分辨分析的频带阈值去噪方法,并给出了此方法的主要算法步骤。用此方法与单一阈值方法分别对一个实例信号进行了去噪处理,并基于两个客观评价标准:信噪比(SNR)、均方根误差(RSME),评估了去噪效果。实验结果证明了提出的方法是一种更有效的语音去噪方法,大大提高了信噪比,改善了清晰度。
A wavelet frequency band threshold denoising method based on multi-resolution analysis is presented and the primary arithmetic steps is given. The soft threshold method and frequency band threshold method are used to denoise a speech signal respectively. The performances of wavelet threshold denoising method according to the objective evaluation standards： signal to noise ratio （SNR）, root square mean error （ RSME ） are evaluated. Experimental results demonstrate that wavelet frequency band threshold method is more efficient for speech signal denoising. It Can greatly improve the SNR and definition.
出处
《噪声与振动控制》
CSCD
北大核心
2008年第2期130-131,134,共3页
Noise and Vibration Control
基金
国家自然科学基金资助项目(50175109)
关键词
声学
小波多分辨分析
频带阈值
语音信号
去噪
acoustics
wavelet multi-resolution analysis
frequency band threshold
speech signal
denoising
