Faculty of Information Technology, BUT

Publication Details

Recurrent Neural Network Language Modeling Applied to the Brno AMI/AMIDA 2009 Meeting Recognizer Setup

KOMBRINK Stefan and MIKOLOV Tomáš. Recurrent Neural Network Language Modeling Applied to the Brno AMI/AMIDA 2009 Meeting Recognizer Setup. In: Proceedings of the 17th Conference STUDENT EEICT 2011. Volume 3. Brno: Brno University of Technology, 2011, pp. 527-531. ISBN 978-80-214-4273-3.
Czech title
Jazykové modelování založené na rekurentních neuronových sítích aplikované na Brno AMI/AMIDA 2009 setup pro rozpoznávání meetingů
Type
conference paper
Language
english
Authors
URL
Keywords
automatic speech recognition, language modeling, recurrent neural networks
Abstract
This paper is on Recurrent Neural Network Language Modeling Applied to the Brno AMI/AMIDA 2009 Meeting Recognizer Setup.
Annotation
In this paper we use recurrent neural network (RNN) based language models to improve our 2009 English meeting recognizer originated from the AMI/AMIDA project, which to date was the most advanced speech recognition setup of the Speech@FIT. On the baseline setup using the original language models we decrease word error rate (WER) from 20.3% to 19.1%. When language models in the system are replaced by models trained on a tiny subset of the original language model data, WER drops from 22.2% to 20.4%. Adding data sampled from two RNN models for language model training improves the overall system, yielding the performance of the original baseline (20.2%).
Published
2011
Pages
527-531
Proceedings
Proceedings of the 17th Conference STUDENT EEICT 2011
Series
Volume 3
Conference
Student EEICT 2011, Brno, CZ
ISBN
978-80-214-4273-3
Publisher
Brno University of Technology
Place
Brno, CZ
BibTeX
@INPROCEEDINGS{FITPUB9691,
   author = "Stefan Kombrink and Tom\'{a}\v{s} Mikolov",
   title = "Recurrent Neural Network Language Modeling Applied to the Brno AMI/AMIDA 2009 Meeting Recognizer Setup",
   pages = "527--531",
   booktitle = "Proceedings of the 17th Conference STUDENT EEICT 2011",
   series = "Volume 3",
   year = 2011,
   location = "Brno, CZ",
   publisher = "Brno University of Technology",
   ISBN = "978-80-214-4273-3",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/9691"
}
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