Earticle

초록

영어

This work aims at speaker recognition based upon a new set of features. Feature extraction is a crucial phase of the recognition process and a proper feature set dramatically influences the speaker recognition. Many well-known features are not suitable for the speaker recognition as those merge the specifics of the individual voices. Therefore, we need features accentuating the individual differences of our voices to be able to recognise speakers reliably. This work introduces new, speaker dependent features called Speaker Dependent Frequency Cepstrum Coefficients (SDFCC), created for the speaker recognition purposes only. Experimental results show their performance in comparison to the well-known features. According to the test results, the SDFCC are, for the speaker recognition, very useful and promising.

목차

Abstract
 1. Introduction
 2. Speaker Dependent Feature Extraction
  2.1 Filters
  2.2 Speaker Dependent Frequency Filter Bank (SDFFB)
  2.3 Speaker Dependent Frequency Cepstrum Coefficients (SDFCC)
 3. Experimental Results
  3.1 Feature Sets
  3.2 Speaker Verification Approach
  3.3. Speaker Identification Approach
  3.4. Summary
 4. Conclusion
 References

키워드

저자

• Filip Orság [ Brno University of Technology Faculty of Information Technology Bozetechova 2 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605