Conference paper

KOCKMANN Marcel and BURGET Lukáš. Contour modeling of prosodic and acoustic features for speaker recognition. In: Proc. 2008 IEEE Workshop on Spoken Language Technology. Goa: IEEE Signal Processing Society, 2008, p. 4. ISBN 978-1-4244-3472-5.
Publication language:english
Original title:Contour modeling of prosodic and acoustic features for speaker recognition
Title (cs):Modelování kontur akustických a prózodických parametrů v rozpoznávání řečníka
Pages:4
Proceedings:Proc. 2008 IEEE Workshop on Spoken Language Technology
Conference:2008 IEEE Workshop on Spoken Language Technology
Place:Goa, IN
Year:2008
ISBN:978-1-4244-3472-5
Publisher:IEEE Signal Processing Society
URL:http://www.fit.vutbr.cz/research/groups/speech/publi/2008/kockmann_slt2008.pdf [PDF]
Keywords
Speaker recognition, Prosody, GMM, Channel Compensation
Annotation
The paper is on contour modeling of prosodic and acoustic features for speaker recognition
Abstract
In this paper we use acoustic and prosodic features jointly in a long temporal lexical context for automatic speaker recognition from speech. The contours of pitch, energy and cepstral coefficients are continuously modeled over the time span of a syllable to capture the speaking style on phonetic level. As these features are affected by session variability, established channel compensation techniques are examined. Results for the combination of different features on a syllable-level as well as for channel compensation are presented for the NIST SRE 2006 speaker identification task. To show the complementary
character of the features, the proposed system is fused with
an acoustic short-time system, leading to a relative improvement of 10:4%.
BibTeX:
@INPROCEEDINGS{
   author = {Marcel Kockmann and Luk{\'{a}}{\v{s}} Burget},
   title = {Contour modeling of prosodic and acoustic features for
	speaker recognition},
   pages = {4},
   booktitle = {Proc. 2008 IEEE Workshop on Spoken Language Technology},
   year = {2008},
   location = {Goa, IN},
   publisher = {IEEE Signal Processing Society},
   ISBN = {978-1-4244-3472-5},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=8841}
}

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