Publication Details
Speaker Dependent Coefficients for Speaker Recognition
speaker, recognition, verification, identification, features
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.
@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"
}