Application Of Speech Recognition Technology In Language Teaching Software Research

With the rapid development and increasing popularization of computer technology,. Computer-Assisted Instruction(CAI) has been widely used in the teaching process. More and more education software become popular in helping people to acquire knowledge,Especially in studying language. The multimedia ability of computer will play an important role in learning featured by vivid voice and picture,as well as the large storage of information. Right now,in the research field of language studying,much more attention has been paid to develop valid voice recognition (abbr. VR)strategy so as to made people study language easier. But it is a pity that language education software has rarely valid voice recognition function. So,in this paper,the theory and algorithm of VR are being developed.In this paper,several key problems in VR process are being discussed both in theory and application,which include pre-processing ,frame decomposing of raw voice signal,characteristic selection and calculation,dynamic mapping of characteristics. Linear prediction model ,model coefficients(LPC) ,as well as cepstrum coefficients are well analyzed both in analysis and calculation aspects . Dynamic mapping algorithm is also illustrated in details. Through the computer simulation to some real short-time voice signal samples using Matlab language. The result shows that the recognition efficiency using cepstrum coefficients mapping is better than what made by LPC mapping . This conclusion is more attractive in the application development of language education system using Digital Signal Processor(DSP).