Applying Feature Extraction of Speech Recognition on VOIP Auditing

Author

Wang, Xuan ; Lin, Jiancheng ; Sun, Yong

Author_Institution

Harbin Inst. of Technol., Shenzhen

Volume

1

fYear

2007

fDate

26-28 Nov. 2007

Firstpage

237

Lastpage

240

Abstract

This paper presents an approach to combining VoIP auditing and speech recognition, and an application of using speech recognition on VoIP voice data is described. In this paper, it deals with how to obtain VoIP voice data when audio communication: signaling protocol analysis and voice data traffic analysis. Feature extraction is a very important step in speech recognition, and this paper´s result shows that the differences between the features extracted from voice recorded directly and voice captured on VoIP are so small that applying speech recognition on VoIP auditing is applicable.

Keywords

Internet telephony; feature extraction; speech recognition; VOIP auditing; feature extraction; signaling protocol analysis; speech recognition; voice data traffic analysis; Automatic speech recognition; Communication system traffic control; Computerized monitoring; Feature extraction; Hidden Markov models; IP networks; Internet telephony; Protocols; Signal analysis; Speech recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Hiding and Multimedia Signal Processing, 2007. IIHMSP 2007. Third International Conference on

Conference_Location

Kaohsiung

Print_ISBN

978-0-7695-2994-1

Type

conf

DOI

10.1109/IIHMSP.2007.4457534

Filename

4457534