DocumentCode
389319
Title
A new method of robust detection for speech stream
Author
Li, Xue-Yao ; Shen, Li-ran ; Dong, Xu ; Zhang, Ru-bo
Author_Institution
Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., China
Volume
2
fYear
2002
fDate
2002
Firstpage
1066
Abstract
Based on the human auditory perceptual properties, a new method for speech detection was proposed. The new method consists of the classical RASTA-PLP filter in logarithmic power spectrum domain and a differential filter in time domain. In this manner, all kinds of noise can be removed efficiently. Proved by experiments, with mass data of these experiments come from the original real recording of wireless communication on spot, this method can detect speech stream efficiently and the new method outperforms the conventional detection method.
Keywords
feature extraction; filtering theory; spectral analysis; speech recognition; time-domain analysis; RASTA-PLP filter; differential filter; feature extraction; human auditory perception; logarithmic power spectrum domain; speech stream detection; time domain; Additive noise; Band pass filters; Convolution; Convolutional codes; Ear; Frequency; Humans; Robustness; Smoothing methods; Speech;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN
0-7803-7508-4
Type
conf
DOI
10.1109/ICMLC.2002.1174547
Filename
1174547
Link To Document