Proceedings of the 2014 International Conference on e-Education, e-Business and Information Management

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Dynamic Speech Feature Parameter Extraction Based on Fitting

Authors
Yingjie Meng, Wenjun Liu, Lixin Bai, Wei Chen
Corresponding Author
Yingjie Meng
Available Online April 2014.
DOI
10.2991/iceeim-14.2014.43How to use a DOI?
Keywords
speech recognition, feature parameter, extraction method
Abstract

In view of the existing research of the speech feature parameter recognition, the anti noise is poor and storage capacity is larger. So, data fitting has been introduced into speech feature parameter extraction to enhance that. Combine with speech spectrum dynamic changes and the short-time energy smooth stationary of speech signal, this paper puts forward and designs a arithmetic of dynamic speech feature parameter extraction based on fitting, and constructs the feature parameter extraction and personal identification scheme. And also designs critical modules algorithm. The detail process of feature parameter extraction: firstly, it created 2-d coordinate for each frame data. Then, we use 2-d coordinate system to fit for making the fitting function is matched primary data perfectly, and get the best fitting order of each frame. Lastly, it extracts the feature parameter which has been combined with the fitting order in each frame. The arithmetic has been simulated an experiment, in order to confirm the applicability and feasibility. The results illustrates the method has preferable anti-noise performance, especially expression and storage for speech segment feature parameter show more obvious advantages.

Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2014 International Conference on e-Education, e-Business and Information Management
Series
Advances in Intelligent Systems Research
Publication Date
April 2014
ISBN
10.2991/iceeim-14.2014.43
ISSN
1951-6851
DOI
10.2991/iceeim-14.2014.43How to use a DOI?
Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Yingjie Meng
AU  - Wenjun Liu
AU  - Lixin Bai
AU  - Wei Chen
PY  - 2014/04
DA  - 2014/04
TI  - Dynamic Speech Feature Parameter Extraction Based on Fitting
BT  - Proceedings of the 2014 International Conference on e-Education, e-Business and Information Management
PB  - Atlantis Press
SP  - 147
EP  - 150
SN  - 1951-6851
UR  - https://doi.org/10.2991/iceeim-14.2014.43
DO  - 10.2991/iceeim-14.2014.43
ID  - Meng2014/04
ER  -