Detail publikace

Speaker Dependent Coefficients for Speaker Recognition

Originální název

Speaker Dependent Coefficients for Speaker Recognition

Anglický název

Speaker Dependent Coefficients for Speaker Recognition

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

BibTex


@article{BUT50801,
  author="Filip {Orság}",
  title="Speaker Dependent Coefficients for Speaker Recognition",
  annote="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.",
  address="NEUVEDEN",
  chapter="50801",
  edition="NEUVEDEN",
  howpublished="print",
  institution="NEUVEDEN",
  journal="International Journal of Security and Its Applications",
  number="1",
  volume="2010",
  year="2010",
  month="february",
  pages="31--47",
  publisher="NEUVEDEN",
  type="journal article - other"
}