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Publication detail
ORSÁG, F.
Original Title
Speaker Dependent Frequency Cepstrum Coefficients
Type
article in a collection out of WoS and Scopus
Language
English
Original Abstract
This paper aims at speaker recognition based upon a novel set of features. Feature extraction is a crucial phase of the speaker recognition process and a proper feature set can influence it dramatically. Many well-known features are not suitable for the speaker recognition as those merge the specifics of the individual voices to make them universal. Therefore, we need features accentuating the individual differences of our voices to be able to recognise speakers reliably. This paper introduces Speaker Dependent Frequency Cepstrum Coefficients (SDFCC) intended for the speaker recognition purposes only. Experimental results prove increase of the reliability in comparison to the well-known features. According to the test results, the SDFCC are very useful and promising for the speaker recognition.
Keywords
speaker, recognition, verification, identification, features
Authors
RIV year
2009
Released
24. 12. 2009
Publisher
Springer Verlag
Location
Berlin
ISBN
978-3-642-10846-4
Book
Security Technology
Edition
CCIS 58
Pages from
258
Pages to
264
Pages count
7
BibTex
@inproceedings{BUT33733, author="Filip {Orság}", title="Speaker Dependent Frequency Cepstrum Coefficients", booktitle="Security Technology", year="2009", series="CCIS 58", pages="258--264", publisher="Springer Verlag", address="Berlin", isbn="978-3-642-10846-4" }