摘要
有效提取语音信号的特征信息是语音识别的关键。对语音信号采用经验模态分解法可得到语音的一系列本征模函数,提取本征模函数的过程是降低语音信号冗余度的过程。在语音识别的试验中以本征模函数为训练模型较传统的识别方法识别率更高。仿真结果表明:方法是有效的,用于提取语音的特征信息是可行的。
Effectively extracting feature information of speech signal is the key of speech recognition.By empirical mode decomposition method,a series of intrinsic mode function can be got.Extraction process of intrinsic mode function is to reduce its redundancy.Experimental results show that the empirical mode decomposition method can decrease the recognition error rate.EMD is an effective method.It is feasible to extract the feature from speech signals with EMD.
出处
《计算机科学》
CSCD
北大核心
2011年第B10期434-436,共3页
Computer Science
