"Statistical Based Voice Activity Detector" . . . . . "RIV/00216305:26220/06:PU62492!RIV11-MPO-26220___" . "3"^^ . "Proceedings of International Conference on Signals and Electronic Systems" . "83-921172-5-5" . "501468" . "voice activity detector hidden markov model"@en . "1"^^ . "RIV/00216305:26220/06:PU62492" . "1"^^ . . . "Sysel, Petr" . "Statistical Based Voice Activity Detector" . . "Statistical Based Voice Activity Detector"@en . "26220" . "Lodz" . . . . "Lodz, Poland" . "2006-09-17+02:00"^^ . "Lodz, Poland" . "Statistical Based Voice Activity Detector"@en . "P(FT-TA2/072), P(GA102/06/1233), Z(MSM0021630513)" . . . "This paper deals with the method of voice activity detection. The paper aims especially to two detector types; these are the detector based on short-time signal energy and statistical model-based voice activity detector. Decision-making rules of the statistical model-based detector are derived from the LRT %(Likelihood Ratio Test) by estimating unknown parameters using the ML %(Maximum Likelihood) criterion. In addition there is an effective hang-over scheme based on HMM %(Hidden Markov Model) principles in the detector. The results were evaluated and compared for various types of noises and SNR values." . "[85EED79BA341]" . . . . "This paper deals with the method of voice activity detection. The paper aims especially to two detector types; these are the detector based on short-time signal energy and statistical model-based voice activity detector. Decision-making rules of the statistical model-based detector are derived from the LRT %(Likelihood Ratio Test) by estimating unknown parameters using the ML %(Maximum Likelihood) criterion. In addition there is an effective hang-over scheme based on HMM %(Hidden Markov Model) principles in the detector. The results were evaluated and compared for various types of noises and SNR values."@en . . .