基于嵌入式Linux说话人识别系统的研究的中期报告.docx

基于嵌入式Linux说话人识别系统的研究的中期报告

（英文版）

Mid-termReportonResearchofSpeakerRecognitionSystemBasedonEmbeddedLinux

1.Introduction

Speakerrecognitionisatechnologythataimstoidentifyanindividualbasedontheirvoicecharacteristics.Ithasbeenwidelyusedinvariousapplications,includingsecuritysystems,accesscontrol,andtelecommunication.Withthedevelopmentofembeddedsystems,itisnowpossibletoimplementspeakerrecognitiononsmalldevicesandusetheminawiderangeofapplications.

ThisresearchprojectaimstodevelopaspeakerrecognitionsystembasedonembeddedLinux.ThesystemwillbeimplementedonaRaspberryPiplatformandwilluseopen-sourcesoftwaretoachievereal-timespeechrecognitionandverification.Thismid-termreportoutlinestheprogressmadesofarandthefutureplan.

2.ProjectGoal

Theprojectaimstoachievethefollowinggoals:

1.Implementareal-timespeakerrecognitionsystemusingopen-sourcesoftware.

2.Developauser-friendlyinterfaceforthesystem.

3.Testtheperformanceofthesystemunderdifferentconditions.

4.Optimizethesystemforalow-power,low-memoryembeddeddevice.

3.Methodology

Thefollowingstepshavebeentakensofar:

1.SettinguptheRaspberryPiplatformandinstallingtherequiredsoftware.

2.Collectingspeechdatafortrainingandtestingthesystem.

3.Preprocessingthespeechdatatoextractrelevantfeatures,suchasMelFrequencyCepstralCoefficients(MFCCs).

4.Trainingaspeakerrecognitionmodelusingmachinelearningalgorithms,suchasGaussianMixtureModels(GMMs)orSupportVectorMachines(SVMs).

5.ImplementingthemodelontheRaspberryPiplatformandtestingitsperformance.

6.Developingauserinterfaceforthesystem,usingPythonandQt.

4.Progress

Sofar,thefollowingprogresshasbeenmade:

1.TheRaspberryPiplatformhasbeensetup,andthenecessarysoftwarehasbeeninstalled,includingtheLinuxoperatingsystemandthePythonprogramminglangu