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Kalbos signalų analizės priemonių tyrimas / Investigation of speech waveform analysis tools

Three main speech recognition methods as well as features commonly used in speech recognition were discussed in the work. Main attention was paid to formant feature extraction methods. For one of the methods feature extraction in C++ was developed. It is based on linear prediction coding (LPC) parameters and calculates complex roots of characteristic polynomial. These roots are used for formant frequencies determination. Spectral envelope of speech signal and formant frequencies are displayed and stored in text files. Program user guide is presented in the work description. Investigation results of formant features for various speech sounds are presented in the appendices.

Identiferoai:union.ndltd.org:LABT_ETD/oai:elaba.lt:LT-eLABa-0001:E.02~2005~D_20050616_193619-30969
Date16 June 2005
CreatorsKulionis, Algis
ContributorsŠaltenis, Vydūnas, Stankevičienė, Eglė, Kazlauskas, Kazys, Dzemyda, Gintautas, Vilnius Pedagogical University
PublisherLithuanian Academic Libraries Network (LABT), Vilnius Pedagogical University
Source SetsLithuanian ETD submission system
LanguageLithuanian
Detected LanguageEnglish
TypeMaster thesis
Formatapplication/pdf
Sourcehttp://vddb.library.lt/obj/LT-eLABa-0001:E.02~2005~D_20050616_193619-30969
RightsUnrestricted

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