北京理工大学珠海学院2020届本科生毕业设计Control of Smart Home Based on Speech RecognitionAbstractIn order to cooperate with the higher intelligence and integration of various terminalequipment,the way of using buttons and menus to control the equipment is abandoned,andthe way of retrieving information and operating commands becomes more convenient.Speechrecognition technology gradually enters people's attention.Smart home can not only provideconvenient and fast services for human life,but also provide more humanized services whenneeded,which makes smart home occupy a very important position in the field of moderndevelopment.Therefore,the combination of smart home and speech recognition technologyhas become an urgent need of people.This paper mainly introduces the research of smarthome control based on speech recognition from the aspects of the model design of speechrecognition,signal transmission and control.The process of speech recognition can be divided into two modules:pattern recognitionand matching.In the speech recognition part of this design,the artificial neural networkmodel is used to preliminarily judge and process the captured speech signal,transform theformat of the audio and text data,extract the feature points of the speech signal,establish andtrain the model based on the preliminary judgment,and get the corresponding speechrecognition For other templates,when waiting for the next capture of speech,the obtainedspeech signal will be compared with the previous speech signal for judgment,combined withthe established correlation function and related algorithm model,the template with the highestmatching rate will be obtained,and a higher recognition rate will be obtained.In addition to the speech recognition module,this design also has the speech inputmodule and the signal output control module,in order to achieve the ultimate goal ofcontrolling the smart home through speech recognition.The voice input module usesmicrophone recording for voice input,and the signal output control module sends signals toanother device through network communication to realize voice control.Keywords:Language recognition,neural network,information transmission,trainingmodel,intelligent control2
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