Title :
Endpoint detection based on MDL using subband speech satisfied auditory model
Author :
Wenjun, Zhong ; Xie Jianying
Author_Institution :
Dept. of Autom., Shanghai Jiao Tong Univ., China
Abstract :
An adaptive endpoint detection algorithm based on band energy and adaptive smoothing algorithm has been described. This algorithm utilized the capability of adaptive smoothing algorithm that intensifies the discontinuity between local areas. The selection of the gradient threshold utilizes the MDL (minimal description length) criterion. We selected the band energy features because of its usefulness in detecting high-energy regions (in the incoming signal) and making the distinction between speech and noise. Heuristic "Edge-focusing" is used to endpoint detection to save the consuming-time in iterative.
Keywords :
smoothing methods; speech processing; adaptive endpoint detection algorithm; adaptive smoothing algorithm; band energy features; heuristic edge focusing; high energy region detection; iterative process; minimal description length; subband speech satisfied auditory model; Delay; Detection algorithms; Event detection; Filter bank; Finite impulse response filter; Frequency; Smoothing methods; Speech enhancement; Speech recognition; Working environment noise;
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
DOI :
10.1109/ICNNSP.2003.1280743
