Voice activity detection method based on inter-frame correlation

Abstract

To enhance the detection performance of statistical model-based Voice Activity Detection(VAD) using likelihood ratio test,an improved VAD was proposed by utilizing the correlation between tandem speech frames.First a priori Signal-to-Noise Ratio(SNR) was estimated using recursive estimation method based on the result of the previous speech frame instead of the traditional decision-directed method.Secondly double thresholds were designed by depending on the previous frame's detention result.Finally a detection rule was presented based on two-state Hidden Markov Model(HMM) coupled with double thresholds.The experimental results show that the inter-frame correlation based VAD scheme gets better performance than the Sohn's VAD.