摘要
采用运算简单、实时性好、改进的功率谱减法对带噪语音进行增强。鉴于谱减法的特点,文中采用了多正弦窗谱估计对功率谱进行估计。多正弦窗谱估计是一种非参数的现代谱估计方法,与周期图法相比,谱估计偏差和方差更小,可以得到效果更好的增强语音。分别对周期图法、多窗谱法及多正弦窗谱法的增强效果进行了比较。实验结果表明,语音在多正弦窗谱法增强后,分段信噪比最高,且没有因为谱减产生的音乐噪声,主观听觉效果最好。多正弦窗谱估计对输入信噪比较低的含噪语音增强效果非常好。
The improved spectral subtraction method, which is of simple operation and real-time, is widely used in many speech enhancement concepts. The spectral estimation with multiple sinusoidal windows is used in this paper. Power spectral estimation with multiple sinusoidal windows is a nonparametric approach. It has lower variance than the traditional periodogram, so it can reduce musical noise significantly. Experiment results show that the multiple sinusoidal windows method is the best for restraining musical noise and improves the SNR most, and the multiwindow method （Slepian） is better than the periodogram. They also show that the multiple sinusoidal windows method is very good for low input SNR.
出处
《信息化研究》
2009年第12期18-21,共4页
INFORMATIZATION RESEARCH
关键词
语音增强
多正弦窗
谱估计
谱减法
speech enhancement
multiple sinusoidal windows
spectral estimation
spectral subtraction
