Publication Details
Discrimininative training of narrow band - wide band adaptated systems for meeting recognition
Burget Lukáš, doc. Ing., Ph.D. (DCGM)
Hain Thomas
Černocký Jan, prof. Dr. Ing. (DCGM)
speech recognition
The paper is on Discrimininative training of narrow band - wide band adaptated systems for meeting recognition
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.
@inproceedings{BUT33437,
author="Martin {Karafiát} and Lukáš {Burget} and Thomas {Hain} and Jan {Černocký}",
title="Discrimininative training of narrow band - wide band adaptated systems for meeting recognition",
booktitle="Proc. Interspeech 2008",
year="2008",
journal="Proceedings of Interspeech",
number="9",
pages="1--4",
publisher="International Speech Communication Association",
address="Brisbane",
issn="1990-9772",
url="http://www.fit.vutbr.cz/research/groups/speech/publi/2008/karafiat_is2008.pdf"
}