Applying Feature Extraction of Speech Recognition on VOIP Auditing
Xuan Wang, Jian-Cheng Lin, Yong Hui Sun · 2007
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.