Return to search

Aukštesnių eilių statistika grįsto balso detektavimo algoritmo sudarymas ir tyrimas / Design and analysis of voice activity detector based on higher order statistics

This report covers a robust voice activity detection (VAD) algorithm presented in [1]. The algorithm uses higher order statistics (HOS) metrics of speech signal in linear prediction coding (LPC) residual domain to classify noise and speech frames of a signal. Chapters in this report present voice activity detection problem and analysis of environment issues for VAD, deep HOS based and standard algorithms analysis and a real time HOS based voice activity detector model. New improvements (instantaneous SNR estimation, decision smoothing, adaptive thresholds, artificial neural network) to the proposed algorithm are introduced and performance results of the improved algorithm compared to standard VAD algorithms are presented.

Identiferoai:union.ndltd.org:LABT_ETD/oai:elaba.lt:LT-eLABa-0001:E.02~2006~D_20060529_131458-61965
Date29 May 2006
CreatorsDuchovskis, Donatas
ContributorsBarauskas, Rimantas, Jasinevičius, Raimundas, Mockus, Jonas, Pranevičius, Henrikas, Plėštys, Rimantas, Maciulevičius, Stasys, Kanapeckas, Pranas, Kazanavičius, Egidijus, Telksnys, Laimutis, Kaunas University of Technology
PublisherLithuanian Academic Libraries Network (LABT), Kaunas University of Technology
Source SetsLithuanian ETD submission system
LanguageLithuanian
Detected LanguageEnglish
TypeMaster thesis
Formatapplication/pdf
Sourcehttp://vddb.library.lt/obj/LT-eLABa-0001:E.02~2006~D_20060529_131458-61965
RightsUnrestricted

Page generated in 0.0015 seconds