摘要
针对在低信噪比环境下语音识别率较低的问题,提出了一种基于Fastlca和MMSE-LSA相结合的算法.首先,用FastIca对低信噪比语音进行语音提取,再使用MMSE-LSA方法处理得到信噪比改善的语音信号.用0～9十个数字做孤立词语音识别.仿真实验证明,用本算法增强后的语音识别率达到80％以上,可以有效地提高低信噪比环境下语音识别率.
Aiming at improving the low speech recognition accuracy in low SNR environment, an algorithm based on Fastica and MMSE - LSA is presented. Firstly, speech is extracted from low SNR signal by Fastlca. And then, MMSE - LSA is used to deal with the enhanced speech signal. In this paper, ten numbers from zero to nine are used in isolated words speech recognition. The simulation results show that the speech recognition rate after using the proposed algorithm can more than eighty percent, which improves speech recognition rate in low SNR effectively.
出处
《电声技术》
2014年第1期62-65,共4页
Audio Engineering
