AbstractAlongwiththedevelopmentof砌onnationtechnology,abilityofinteractionisdemandedmoreandmorestrong/’’-pet,speech,emotion;introducesinsllmthebaseknowledgeofspeechrecognition;andalsointroduceineasesomesoftwaresuchascolea,cooledit,Matlab,-pet,#a,fivecharacters(111atisthemeanofenergy,localtopofenergycuⅣe,duration,pitch,andthemeanofzerocrossrate)paredtootherpapers,,manyconlrnonmethodologiesareintroduced,includingPeA,GMM,VQ(Ⅵ=ratorQuantization),SVM(SupportVectorMachine).Templatematchedmethodsisintroducedatimportantpoint,--rote85%.(work)toreachmorethanrecognition-rate90,someemotion’srecognition-rateexceeds95%.Intheprocessofrecognition,,suchasHMM(HiddenMarkovModel)andANN(ArtificialnenI'work).Atlast,。Keywords:PersonalIntelligentMachine-petMachine-pet,SpeechEmotionFeatures,EmotionRecognition,ANN目录图1--1图1--2图2一l图2—2圈2--3图2—4图2—5图2—6图2—7图2—8图3—1图3—2图3—3圈3—4图3--5图3—6图3--7图3--8圈3—9图3--10圈4一l圈4—2图5--1圈5--2图5--3图5--3圈5—4图5—5图片目录AibeERs-210/s?????????????????????。海尔智能机器狗D318A??????一??????.,AiboERs-311.?????。一段语音信号2?5?5语音信号产生的离散时域模型????????五种情绪下语音“
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