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Research Article
An Extensive Analysis of Lid Systems' Low Impact Development Models
D. Nivetha1
S. Bharathi2
A Periasamy3
12 Students, Department of Electronics and Communication Engineering, Marthandam college of engineering &Technology, Tamilnadu, India. 3 Asst.Prof , Department of Electronics and Communication Engineering, Marthandam college of engineering &Technology, Tamilnadu, India.
Published Online: September-October 2023
Pages: 21-23
Cite this article
No DOIReferences
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er,pp.82–108,May2011.
2. D.Reynolds,“Gaussianmixturemodels,”MITLincolnLaboratory,Massachusetts,2002.
3. D.A.ReynoldsandR.C.Rose, “Robusttext independents peaker identification using Gaussianmixturemodels,”IEEETrans.
SpeechAudioProcessing, vol.3,no.1,pp.72 – 83,Jan.1995.
4. D.A.Reynolds,“Speaker identification and verification sing Gaussianmixture speaker models,”SpeechCommun.,vol.17, pp.91–
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andMechatronicsAutomation,2010,pp.656 – 659.
7. A.Ziaei,S.M.Ahadi,H.Yeganeh and S.M.Mirrezai,“A new approach for spoken language identification based on sequenceker
nelSVMs,”IEEEDigital SignalProcessing Journal,2009.
8. A.Ziaei, S. M.Ahadi, H.YeganehandS. M. Mirrezaie,“Spokenlanguageidentificationusinganewsequencekernel-basedSVMback-
endclassifier,”IEEEDigitalSignalProcessing Journal,pp.324 – 329,2008.
9. K.MarkovandS.Nakamura,“LanguageidentificationwithdynamichiddenMarkovnetwork,”inProc.ICASSP, 2008,pp.4233–4236.
10. A.Dustor and P. Szwarc,“SpokenlanguageidentificationbasedonGMMmodels,”inProc.Int.Conf.Signals
andElectronicSystems(ICSES),Sept.2010,pp.105–108.
er,pp.82–108,May2011.
2. D.Reynolds,“Gaussianmixturemodels,”MITLincolnLaboratory,Massachusetts,2002.
3. D.A.ReynoldsandR.C.Rose, “Robusttext independents peaker identification using Gaussianmixturemodels,”IEEETrans.
SpeechAudioProcessing, vol.3,no.1,pp.72 – 83,Jan.1995.
4. D.A.Reynolds,“Speaker identification and verification sing Gaussianmixture speaker models,”SpeechCommun.,vol.17, pp.91–
108,Mar.1995.
5. D. A. Reynolds, T. F. Quatieri and R. B. Dunn, “Speaker verification using adapted Gaussian mixture models,” Digital Signal
Processing, vol. 10, no. 3, pp. 19 –41,2000.
6. Y.Xu,J.YangandJ.Chen,“MethodstoimproveGaussianmixturemodelforlanguageidentification,”inProc.Int.Conf.MeasuringTechnology
andMechatronicsAutomation,2010,pp.656 – 659.
7. A.Ziaei,S.M.Ahadi,H.Yeganeh and S.M.Mirrezai,“A new approach for spoken language identification based on sequenceker
nelSVMs,”IEEEDigital SignalProcessing Journal,2009.
8. A.Ziaei, S. M.Ahadi, H.YeganehandS. M. Mirrezaie,“Spokenlanguageidentificationusinganewsequencekernel-basedSVMback-
endclassifier,”IEEEDigitalSignalProcessing Journal,pp.324 – 329,2008.
9. K.MarkovandS.Nakamura,“LanguageidentificationwithdynamichiddenMarkovnetwork,”inProc.ICASSP, 2008,pp.4233–4236.
10. A.Dustor and P. Szwarc,“SpokenlanguageidentificationbasedonGMMmodels,”inProc.Int.Conf.Signals
andElectronicSystems(ICSES),Sept.2010,pp.105–108.
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