摘要
本文在研究基于改进谱减法的基础之上 ,提出了在频域利用谱减法去除宽带加性噪声 ,在时域利用短时过零率和短时能量组合而成的加权函数去除谱减法后产生的“音乐噪声”的方法 .实验表明
As speech recognition has moved from the laboratory to the real field , recognition scores drop significantly. Denoising and robust speech recognition are of critical importance in practical deployment of speech technology. The enhancement of noisy speech has gained an increasing interest in recent years. In this paper, we present a new speech enhancement method, which uses spectral and time domain processing and achieves a trade off between effective and low computational load for real time operations. In the spectral domain, a improved spectral subtraction is used to reduce the effect of additive broadband noise on speech. In the time domain, a weighting function is used to reduce a residual 'musical noise'. Experimental results show this method can offer better performance.
出处
《小型微型计算机系统》
CSCD
北大核心
2003年第7期1260-1263,共4页
Journal of Chinese Computer Systems
关键词
语音增强
噪声消除
音乐噪声
权函数
speech enhancement
denoising
music noise
weighting function