Proceedings of the 2nd International Conference on Information, Electronics and Computer

Television station identification system based on speech forensics

Authors
Wenxiu Wang, Yunxia Zhou, Jingkai Zhou, Dongjian Cao
Corresponding Author
Wenxiu Wang
Available Online March 2014.
DOI
https://doi.org/10.2991/icieac-14.2014.33How to use a DOI?
Keywords
Speech processing [3],Television station identification,MFCC,BP,MATLAB
Abstract
This paper introduces the principle of speech signal processing, the method and the research status. According to the domestic and foreign relevant speech signal processing technology research [1], at the beginning of this research, we prepare enough files. Presenting a BP neural network based on MFCC recording device identification method, we began to record the audio files to be read by the first using MATLAB, and then for each file for MFCC to extract characteristic parameters [2], and then training representative voice files, establish the BP neural network recording equipment model library, then select the taped speech compared with BP neural network model libraries do, determine testing voice from which Television station.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference on Information, Electronics and Computer
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2014
ISBN
978-90-78677-99-4
ISSN
1951-6851
DOI
https://doi.org/10.2991/icieac-14.2014.33How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Wenxiu Wang
AU  - Yunxia Zhou
AU  - Jingkai Zhou
AU  - Dongjian Cao
PY  - 2014/03
DA  - 2014/03
TI  - Television station identification system based on speech forensics
BT  - 2nd International Conference on Information, Electronics and Computer
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icieac-14.2014.33
DO  - https://doi.org/10.2991/icieac-14.2014.33
ID  - Wang2014/03
ER  -