Title :
Automatic speech correction: A step to speech recognition for people with disabilities
Author :
Terbeh, Naim ; Labidi, Mohamed ; Zrigui, M.
Author_Institution :
Comput. Sci. Dept., Fac. of Sci. of Monastir, Monastir, Tunisia
Abstract :
This work consists on achieve an automatic correction system for Arabic continuous speech. This system will be combined by an ASR system for disabled people. For this work, we built a lexicon of 4.000.000 Arabic words through which decides if a word is correct or not. A corpus of Arabic texts is also required to provide a standard summarizing the appearance rate of each two-letter (two-phoneme) in the Arabic language. The results of our system were encouraging and present an advantage to other work for people with articulatory disabilities.
Keywords :
natural language processing; speech recognition; ASR system; Arabic continuous speech recognition; Arabic language; Arabic texts; Arabic words; articulatory disabilities; automatic speech correction system; disabled people; Hidden Markov models; Mathematical model; Mercury (metals); Speech; Speech recognition; Standards; Vectors; Arabic language; Automatic Speech Correction; Automatic Speech Recognition; Wrong pronunciation;
Conference_Titel :
Information and Communication Technology and Accessibility (ICTA), 2013 Fourth International Conference on
Conference_Location :
Hammamet
DOI :
10.1109/ICTA.2013.6815303
