A research in speech endpoint detection based on boxes-coupling generalization dimension / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 536-541, 2008.
Article
in Chinese
| WPRIM
| ID: wpr-291196
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Speech
/
Speech Production Measurement
/
Signal Processing, Computer-Assisted
/
Pattern Recognition, Automated
/
Artificial Intelligence
/
Speech Recognition Software
/
Methods
Type of study:
Diagnostic study
Limits:
Humans
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2008
Type:
Article
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