摘要
通过对特征提取模块2个重要部分:端点检测和线性预测倒谱(LPCC)相关原理的介绍分析,阐述了一种以线性预测倒谱(LPCC)为基础,进行特征提取的孤立词语音识别的具体实现方法,并对该方法所描述的系统进行了软件建模。通过分析研究,给出了提高识别率的具体改进方案。最后使用Matlab软件对相关方法及结论进行了验证,表明该方法确实在传统方法的基础上提高了识别率,且速度较快,具有实用性和良好的硬件可移植性,并讨论了它在一些关键环节的未来实现及改进方向。
An implementation method of the isolated word speech recognition with feature extraction based on the linear prediction cepstrum（LPCC）is elaborated by the analysis of the relevant principles of two important parts（the endpoint detection and LPCC）of the feature extraction module.The software modeling of the system which is described by the method is carried out.A specific improvement program to improve the recognition rate is given through the analysis.carried on the confirmation for the relevant method and conclusion are demonstrated with Matlab software.The demonstration shows that the method can raise the recognition rate indeed based on the traditional method,and has the characteristics of high-speed recognition,good practicability and hardware portability.The direction of the future implementation and improvement in some key links is discussed for the method.
出处
《现代电子技术》
2010年第16期109-112,共4页
Modern Electronics Technique
