A decoder for large vocabulary speech recognition

This paper describes a decoder for large vocabulary continuous speech recognition developed at the Faculty of Technical Sciences, University of Novi Sad. The decoder is an open source solution written in the C++ programming language. The structure of the decoder is modular, allowing relatively simpl...

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Bibliographic Details
Published in:	2011 18th International Conference on Systems, Signals and Image Processing pp. 1 - 4
Main Authors:	Jakovljevic, N., Miskovic, D., Janev, M., Pekar, D.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-06-2011
Subjects:	Acoustics decoder Decoding Dictionaries Hidden Markov models large vocabulary speech recognition Load modeling Object oriented modeling open source software Speech recognition
Online Access:	Get full text
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Summary:	This paper describes a decoder for large vocabulary continuous speech recognition developed at the Faculty of Technical Sciences, University of Novi Sad. The decoder is an open source solution written in the C++ programming language. The structure of the decoder is modular, allowing relatively simple modification and expansion of the code. It can be used in combination with standard speech recognition tools such as Hidden Markov Model Toolkit (HTK) and the language modelling tool SRILM.
ISBN:	9781457700743 1457700743
ISSN:	2157-8672