| 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 | Abstract: | 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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