A Semi-Continuous State-Transition Probability HMM-Based Voice Activity Detector

H. Othman, T. Aboulnasr
2007 EURASIP Journal on Audio, Speech, and Music Processing  
We introduce an efficient hidden Markov model-based voice activity detection (VAD) algorithm with time-variant state-transition probabilities in the underlying Markov chain. The transition probabilities vary in an exponential charge/discharge scheme and are softly merged with state conditional likelihood into a final VAD decision. Working in the domain of ITU-T G.729 parameters, with no additional cost for feature extraction, the proposed algorithm significantly outperforms G.729 Annex B VAD
more » ... le providing a balanced tradeoff between clipping and false detection errors. The performance compares very favorably with the adaptive multirate VAD, option 2 (AMR2).
doi:10.1155/2007/43218 fatcat:h37wyqjiuveexecxozjtup6hyq