Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

A Source-Filter Model-Based Unvoiced Speech Detector for Speech Coding

Authors
Qian Wang, Xin Du, Weikang Gu
Corresponding Author
Qian Wang
Available Online March 2013.
DOI
10.2991/iccsee.2013.361How to use a DOI?
Keywords
Voice Activity Detection, Generalized Likelihood Ratio Test, Speech Coding, Linear Prediction, Unvoiced Speech Detector
Abstract

A novel and easy to realize approach for Voice Activity Detection (VAD) is proposed based on the source-filter speech model in the application of Linear-Prediction-structure speech coding. Generalized Likelihood Ratio Test (GLRT) is adopted to formulate the voice activity detector which contains an unvoiced speech detector and a voiced speech detector respectively. By exploiting the linear predictive analysis coefficients and the pitch information produced in the speech coder, the two separate detectors work effectively in uncorrelated noise without increasing computational complexity significantly. Experimental results show that the unvoiced speech detector outperforms conventional algorithm used in speech coding under various noisy conditions.

Copyright
© 2013, 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 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
10.2991/iccsee.2013.361How to use a DOI?
Copyright
© 2013, 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

TY  - CONF
AU  - Qian Wang
AU  - Xin Du
AU  - Weikang Gu
PY  - 2013/03
DA  - 2013/03
TI  - A Source-Filter Model-Based Unvoiced Speech Detector for Speech Coding
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1434
EP  - 1437
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.361
DO  - 10.2991/iccsee.2013.361
ID  - Wang2013/03
ER  -