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Applying feature extraction of speech recognition on VoIP auditing

  • Xuan Wang*
  • , Jiancheng Lin
  • , Yong Sun
  • , Haibo Gan
  • , Lin Yao
  • *Corresponding author for this work
  • Harbin Institute of Technology Shenzhen
  • Shenzhen Polytechnic

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents an approach that combines both VoIP auditing and speech recognition, and an application of using speech recognition on VoIP voice data is described. It also deals with how to obtain VoIP voice data during audio communication: signaling protocol analysis and voice data traffic analysis. Feature extraction is a very important step in speech recognition, and the result derived from this research shows that the differences between the features extracted from voice recorded directly and voice captured through VoIP are very small and that applying speech recognition on VoIP auditing is applicable.

Original languageEnglish
Pages (from-to)1851-1856
Number of pages6
JournalInternational Journal of Innovative Computing, Information and Control
Volume5
Issue number7
StatePublished - Jul 2009
Externally publishedYes

Keywords

  • Auditing
  • Feature extraction
  • MFCC
  • Speech recognition
  • VoIP

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