Result Details
Syllable based Feature-Contours for Speaker Recognition
Burget Lukáš, doc. Ing., Ph.D., DCGM (FIT)
the paper is on Syllable based Feature-Contours for Speaker Recognition
speaker recognition
The use of acoustic short-time features for speaker identification has established itself for several years. In this work, classical acoustic as well as prosodic features are jointly used in a lexical context. The contours of pitch, energy and cepstral coeffi- cients are continuously modeled over the time span of a syllable to capture the speaking style on phonetic level. Especially the addition of cepstral contours highly improves the performance. Due to the small amount of data, best results are achieved with a factor analysis framework. Results are presented for the NIST SRE 2006 speaker identification task.
@inproceedings{BUT32070,
author="Marcel {Kockmann} and Lukáš {Burget}",
title="Syllable based Feature-Contours for Speaker Recognition",
booktitle="Proc. 14th International Workshop on Advances in Speech Technology",
year="2008",
pages="1--4",
address="Maribor",
url="http://www.fit.vutbr.cz/research/groups/speech/publi/2008/kockmann_ast2008.pdf"
}
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Security-Oriented Research in Information Technology, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, start: 2007-01-01, end: 2013-12-31, running
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