Discrimininative training of narrow band - wide band adaptated systems for meeting recognition

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F08%3APU78050" target="_blank" >RIV/00216305:26230/08:PU78050 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Discrimininative training of narrow band - wide band adaptated systems for meeting recognition
Original language description
The amount of training data has a crucial effect on the accuracy of HMM based meeting recognition systems. One of the largest collections of speech data is conversational telephone speech which was found to match speech in meetings well. However it is naturally recorded with limited bandwidth. In previous work we presented a scheme that allows to transform wide-band meeting data into the same space for improved model training. In this paper we focused on integration of discriminative adaptation into this scheme. This integration is not straightforward and we present the complexity of this process. The models are tested on the NIST RT'05 meeting evaluation where a relative reduction in word error rate of 5.6% against non-adapted meeting system was achieved.
Czech name
Dickriminativní trénování systémů pro rozpoznávání meetingů založené na narrow band-wide band adaptaci
Czech description
Článek je o dickriminativním trénování systémů pro rozpoznávání meetingů založeném na narrow band-wide band  adaptaci<br>

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)

Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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