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Publication result detail
ORSÁG, F.
Original Title
Speaker Dependent Coefficients for Speaker Recognition
English Title
Type
Peer-reviewed article not indexed in WoS or Scopus
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.
English abstract
Keywords
speaker, recognition, verification, identification, features
Key words in English
Authors
RIV year
2011
Released
05.02.2010
ISBN
1738-9976
Periodical
International Journal of Security and Its Applications
Volume
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" }