An Improved Speech Endpoint Detection Algorithm Analyses Based on Short-term Average Amplitude
Chun Liu · Journal of Northwest University for Nationalities · 2009
The speech endpoint detection was analyzed in this paper based on short-term average amplitude feature in the presence of noise.Besides short-term energy feature, to solve the imperfection of traditional endpoint detection algorithm,and with the features of the mandarin,taking into account the amount of computing systems and the fact that short-term energy is too sensitive to high energy singles with a computed threshold to amend endpoint detection algorithm.Experiments show that the proposed algorithm outperforms traditional energy algorithm for speech endpoint detection in noisy environments.