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

fYear

2013

fDate

24-26 Oct. 2013

Firstpage

1

Lastpage

6

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Communication Technology and Accessibility (ICTA), 2013 Fourth International Conference on

Conference_Location

Hammamet

Type

conf

DOI

10.1109/ICTA.2013.6815303

Filename

6815303