Title :
Arabic Speech Recognition System Based on CMUSphinx
Author :
Satori, H. ; Harti, M. ; Chenfour, N.
Author_Institution :
UFR Inf. et Nouvelles Technol. d´´Inf. et de Commun., Fes
Abstract :
In this paper we present the creation of an Arabic version of Automated Speech Recognition System (ASR). This system is based on the open source Sphinx-4, from the Carnegie Mellon University. Which is a speech recognition system based on discrete hidden Markov models (HMMs). We investigate the changes that must be made to the model to adapt Arabic voice recognition.
Keywords :
hidden Markov models; speech recognition; Arabic speech recognition system; Automated Speech Recognition System; CMUSphinx; discrete hidden Markov models; open source Sphinx-4; Application software; Automatic speech recognition; Computational intelligence; Computer languages; Hidden Markov models; Java; Packaging; Robustness; Speech recognition; Sun; Acoustic model; Arabic language; Artificial intelligence; CMUSphinx-4; HMMs; Speech recognition;
Conference_Titel :
Computational Intelligence and Intelligent Informatics, 2007. ISCIII '07. International Symposium on
Conference_Location :
Agadir
Print_ISBN :
1-4244-1158-0
Electronic_ISBN :
1-4244-1158-0
DOI :
10.1109/ISCIII.2007.367358
