Contour modeling of prosodic and acoustic features for speaker recognition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F08%3APU78095" target="_blank" >RIV/00216305:26230/08:PU78095 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Contour modeling of prosodic and acoustic features for speaker recognition
Original language description
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<br>character of the features, the proposed system is fused with<br>an acoustic short-time system, leading to a relative improvement of 10:4%.
Czech name
Modelování kontur akustických a prózodických parametrů v rozpoznávání řečníka
Czech description
Článek je o modelování kontur akustických a prózodických parametrů v rozpoznávání řečníka<br>
Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proc. 2008 IEEE Workshop on Spoken Language Technology
ISBN
978-1-4244-3472-5
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
IEEE Signal Processing Society
Place of publication
Goa
Event location
Goa
Event date
Dec 15, 2008
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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