Speech Recognition In The Application Research On Industrial Robots

Speech recognition is a comprehensive technology involved such areas as acoustics, phonetics,linguistics,computer science,information processing and artificial intelligence,which is used widely in such man-machine correspondence aeras as military affairs command,product inspection and date input.The research of speech recognition technology has been focused by the world for a long time.However,the most accurate speech recognition systems are still slow,expensive and inconvenient, which limit its speed,hardware implementation and application.Especially the application of intelligent robot in speech recognition technology research under noisy. As a kind of intelligent robot,the industrial robots recognition technology research is paid more and more attention.Under industrial environment noise in the robot must have good tolerance and play rehabilitation sex,so in this thesis based on the following studies do:Firstly,the thesis in noisy environment of speech recognition,industrial robots on speaker-independent,small vocabulary speech recognition,isolated words,analysis of the traditional use masking.watermark speech recognition method based on characteristic,then the bark and MEL frequency of frequency MFCC corresponding relation of extraction method,based on the improvement of the first-order coefficients of variance do cepstrum normalized(CMN) processing and using RBF full training and study method is the supervision of robot speech recognition training more fully,make new speech recognition robustness,and thereby enhance its recognition rate.Based on industrial environment robot speech recognition.,analyzed spectral subtraction and MMSE - lsas speech enhancement algorithm,and focus on the process of analysis and research on the phase noise reduction after the information time spectrum analysis of speech enhancement method of design and implementation.And spectral subtraction and MMSE - lsas speech enhancement method,analyzed data. Make industrial robots in noisy environment to improve the recognition rate.Finally the most application requirements is due to the robot real-time.Robots are understood,even after the musical,other series of actions,namely robots need to handle large amounts of data,the time is assigned to hearing is very limited,therefore,is to improve the real-time audio problems;the robot,So with the signal pretreatment, feature extraction,intelligent algorithm,the design of a low-power,high reliability and low cost an ARM + DSP speech recognition system platform.A natural way,make the human-computer interaction of industrial robot can understand the language of heart, who will be the voice,speech correctly into corresponding semantic information of text, according to the corresponding action.The comparison system analysis and comparison with the traditional programs,the design of the main difficulties and make a brief discussion and analysis.