计算机工程与应用2011，Vol.47Issue(19)：132-135,4.DOI:10.3778/j.issn.1002-8331.2011.19.036
含噪语音实时迭代维纳滤波
Iterative Wiener filtering-based real-time voice in noises
王景芳1
作者信息
- 1. 湖南涉外经济学院电气工程系,长沙410205
- 折叠
摘要
Abstract
As many traditional de-noising methods fail in the intensive noises environment and be unadaptable in various noisy environments, a method based on iterative Wiener filtering feature extraction is applied for acoustic signals.It frames the acoustic signals at first.Then, the iterative-renewing methods are advanced in noising spectral frequency and Sig-nal-to-Noise ratio (SNR) of spectral power.This method is implemented in detail.The experimental results show that the proposed algorithm can filter noise from voice effectively and improve the performance of automatic speech recognition system significantly.lt is proved to be robust under various noisy environments and SNR conditions.The algorithm is of low computational complexity which is suitable for embedded automatic speech recognition system application.关键词
声信号/迭代维纳滤波/去噪/自适应处理Key words
acoustic signal/iterative Wiener filtering/de-noising/adaptive processing分类
信息技术与安全科学引用本文复制引用
王景芳..含噪语音实时迭代维纳滤波[J].计算机工程与应用,2011,47(19):132-135,4.
