Toward detecting voice activity employing soft decision in second-order conditional MAP
Sang‐Kyun Kim, Jae-Hun Choi, Sang-Ick Kang, Ji-Hyun Song, Joon‐Hyuk Chang · 2010
In this paper, we propose a novel approach to statistical modelbased voice activity detection (VAD) that incorporates a secondorder conditional maximum a posteriori (MAP) criterion. As a technicalimprovementforthefirst-orderconditionalMAPcriterionin[1],weconsiderboththecurrentobservationandthevoice activity decision in the previous two frames to take full consideration of the inter-frame correlation of voice activity. The soft decision scheme is incorporated to result in time-varying thresholdsforfurtherperformanceimprovement. Experimentalresults show that the proposed algorithm outperforms the conventional CMAP-based VAD technique under various experimental conditions.