An improved method for robust speech endpoint detection

An improved method based on adaptive band-partitioning spectral entropy for robust speech endpoint detection is provided. Adaptive band-partitioning spectral entropy which is extended from the spectral entropy is a new method for improving the robustness of speech endpoint detection. Although it has good robustness, the accuracy also degrades when the signal-to-noise ratios (SNRs) are low. Therefore, an improved solution is proposed in this paper. It utilizes adaptive filter to boost up the SNRs. The implementation procedure is given in detail. It is shown that the new algorithm can operate effectively under changeable SNRs.