A research in speech endpoint detection based on boxes-coupling generalization dimension.
- Author:
Zimei WANG
1
;
Cuirong YANG
;
Wei WU
;
Yingle FAN
Author Information
1. Biomedical Engineering and Instrument Institute, Hangzhou Dianzi University, Hangzhou, 310018, China. wzmtina@163.com
- Publication Type:Journal Article
- MeSH:
Artificial Intelligence;
Humans;
Pattern Recognition, Automated;
methods;
Signal Processing, Computer-Assisted;
Speech;
Speech Production Measurement;
methods;
Speech Recognition Software
- From:
Journal of Biomedical Engineering
2008;25(3):536-541
- CountryChina
- Language:Chinese
-
Abstract:
In this paper, a new calculating method of generalized dimension, based on boxes-coupling principle, is proposed to overcome the edge effects and to improve the capability of the speech endpoint detection which is based on the original calculating method of generalized dimension. This new method has been applied to speech endpoint detection. Firstly, the length of overlapping border was determined, and through calculating the generalized dimension by covering the speech signal with overlapped boxes, three-dimension feature vectors including the box dimension, the information dimension and the correlation dimension were obtained. Secondly, in the light of the relation between feature distance and similarity degree, feature extraction was conducted by use of common distance. Lastly, bi-threshold method was used to classify the speech signals. The results of experiment indicated that, by comparison with the original generalized dimension (OGD) and the spectral entropy (SE) algorithm, the proposed method is more robust and effective for detecting the speech signals which contain different kinds of noise in different signal noise ratio (SNR), especially in low SNR.
