Publication Details
Brno University of Technology System for NIST 2005 Language Recognition Evaluation
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT)
Schwarz Petr, Ing., Ph.D. (DCGM FIT BUT)
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT)
PRLM, language identification, language recognition, phonotactic, antimodels, acoustic modeling, disriminative training, maximum mutual information
This paper presents the language identification (LID) system developed in Speech@FIT group at Brno University of Technology (BUT) for NIST 2005 Language Recognition Evaluation.
This paper presents the language identification (LID) system developed in Speech@FIT group at Brno University of Technology (BUT) for NIST 2005 Language Recognition Evaluation. The system consists of two parts: phonotactic and acoustic. Phonotactic system is based on hybrid phoneme recognizers trained on SpeechDat-E
database. Phoneme lattices are used to train and test phonotactic language models. Further improvement is obtained by using anti-models. Acoustic system is based on GMM modeling trained under Maximum Mutual Information framework. We describe both parts and provide a discussion of performance on LRE 2005 recognition task.
@INPROCEEDINGS{FITPUB8135,
author = "Pavel Mat\v{e}jka and Luk\'{a}\v{s} Burget and Petr Schwarz and Jan \v{C}ernock\'{y}",
title = "Brno University of Technology System for NIST 2005 Language Recognition Evaluation",
pages = "57--64",
booktitle = "Proceedings of Odyssey 2006: The Speaker and Language Recognition Workshop",
year = 2006,
location = "San Juan, PR",
ISBN = "1-4244-0472-X",
language = "english",
url = "https://www.fit.vut.cz/research/publication/8135"
}