基于arm+a8和矢量泰勒级数特征补偿的语音识别系统实现与优化

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1、AbstractInrecemyears，withthedeVelopInemofspeechrecog血iontechnologyandembeddedsystenls，embeddedsystenlsbasedonspeechrecognitiontechllologyhasbeenwidelyappliedtotheautornobile，smarttoys，iIldustrialcontrolandotherfields．Voice．basedhImn-computer缸eractioniSInorenatur．alandconVe

2、Ilient，embeddedsystemshaslowcost，sImlls边e，lowpo、ⅣercollsuI]nptionadVantages，thusachjeViIlgrobusteml)eddedspeechrecog血ionsystemllasiIllportantapplicationvalue．T11ispaperstudiestheoptiII]血ationofeII】【beddedisolated、vordrecognitionsystembaSedVectorTaylorseries凳aturescornpensa

3、tion．ByoptiIIliz洫gacceleraterecogIli_tionspeedofthesysteIIl，irnproVesystemaVailability．TheImiIl、ⅣorkoftmspaperisaSfollows：l，Studythestnlcture，eValuationparameterarldpre仃eatmenttecllIlologyofthespeechrecog疵ionsystem．T11isp印erusesdualtllresholdendpondetectionakor曲mbasedonspe

4、ctralentropy．Mel丘equencyc印stralcoe丘hcitemandcorrespondir培first-orderdiffbremtialcepstralcoe伍ciemsisusedasthechararcteristicparaIIletersill．Hidenmarkovmodelisusedtomodeltheacousticparameters．ThevectorTaylorse血siSusedaS先aturecoInpensationakoritllIll．2，OptiIIlizestheprogramba

5、sedont11elwdwareplatfoml危atIu．esofARMA8，ClangW吗efeatures．ReducetheaccuracyoftheVariablesi11thepro伊a驰acllievethepu印osesofusenoatjng—pointco-processoru11itNEONtocoInpletethefloatpoilltarithmetic；adjustthestructuralofprogr锄to曲proVereadabilityoftheprogra皿easytopost_I瑚血emnce；op

6、tilIl讫edcodeandominecalculationoperationofsomevariables．Improvetheemciencyoftheprogr觚l，toaCceleratethereCog血ionspeedofthesystem．Thenreal-t曲etesttheen．orrateandrecog血ionspeedofthesyst锄onllar衔areplatfomaf【eroptiIIlized．3，RealizetheoptiInizationbasedonthespeechrecogmtionalgor

7、itlull．RespectiVely，FisherratiocriterionisusedforreducmgthediIIlensionofspeech诧arureparanleters，usingtherlearest11e追hborestiInationmethodtoredllcetheaI】的untofcoInputationofViterbialgorithm，andreducetheII血tureofgaussianIIlj【)(turenlodelwIlichisusediIlthevectortavlorseriesa培

8、orithm．First，theMArLABsiIllulationtestisproposedtoamlysisandVeri黟thealgorithmunderdi娲rent