Authors: Jakovljević, Nikša
Mišković, Dragiša
Janev, Marko 
Pekar, Darko
Title: A decoder for large vocabulary speech recognition
Journal: International Conference on Systems, Signals, and Image Processing
First page: 287
Last page: 290
Conference: 18th International Conference on Systems, Signals and Image Processing, IWSSIP 2011; Sarajevo; Bosnia and Herzegovina; 16 June 2011 through 18 June 2011
Issue Date: 2-Nov-2011
ISBN: 978-9-958-99661-0
ISSN: 2157-8672
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.
Keywords: decoder | large vocabulary speech recognition | open source software
Publisher: University of Sarajevo

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