Speech Endpoint Detection Method Based on TEO in Noisy Environment

Abstract Speech endpoint detection is a crucial component in speech recognition system, especially in the noisy environment. It's accuracy affects the computational complexity and the recognition performance of the speech recognition system. The paper proposes an endpoint detection of speech signals based on Teager Energy Operator(TEO).It uses a threestate transition and judgment mechanism based on double thresholds, witch ensure the accuracy in noisy environment and the robustness to changes in absolute levels. Comparison with other two endpoint detection algorithms and experimental results show this algorithm has better detection capability in low signal to noise ratio environments and takes on more advantages.