Publication detail

Speaker Dependent Coefficients for Speaker Recognition

ORSÁG, F.

Original Title

Speaker Dependent Coefficients for Speaker Recognition

Type

journal article - other

Language

English

Original Abstract

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.

Keywords

speaker, recognition, verification, identification, features

Authors

ORSÁG, F.

RIV year

2010

Released

5. 2. 2010

ISBN

1738-9976

Periodical

International Journal of Security and Its Applications

Year of study

2010

Number

1

State

Republic of Korea

Pages from

31

Pages to

47

Pages count

17

BibTex

@article{BUT50801,
  author="Filip {Orság}",
  title="Speaker Dependent Coefficients for Speaker Recognition",
  journal="International Journal of Security and Its Applications",
  year="2010",
  volume="2010",
  number="1",
  pages="31--47",
  issn="1738-9976"
}