DocumentCode :
2920648
Title :
Mathifier — Speech recognition of math equations
Author :
Batlouni, Salim N. ; Karaki, Hala S. ; Zaraket, Fadi A. ; Karameh, Fadi N.
Author_Institution :
American Univ. of Beirut, Beirut, Lebanon
fYear :
2011
fDate :
11-14 Dec. 2011
Firstpage :
301
Lastpage :
304
Abstract :
Speech recognition has become widely used across many applications. Telephone systems can route a phone call based on what the caller says, control systems can respond to actions said by the controller, and mobile phones can recognize the speech of a contact´s name and call the respective contact directly. However, speech recognition has found little use in recognition of textual material due to the large dictionary and hence large word error rates. Mathifier constricts the speech recognition to math equations; it takes as input math formulas presented in the form of user speech and produces the equations in digital mathematical form. The smaller dictionary and the specific grammar structure of the math equations help restrict the problem of the recognition process. The program has room for smartly guessing words based on the grammar structure and thus resulting in a lower error rate and better recognition. Mathifier uses Sphinx, a modular speech recognition tool from CMU, and adapts it to recognize math equations and convert them into latex form in real time.
Keywords :
mobile handsets; speech recognition; CMU; Sphinx; control systems; math equations; mathifier; mobile phones; phone call; speech recognition; telephone systems; Equations; Grammar; Hidden Markov models; Java; Mathematical model; Speech; Speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Circuits and Systems (ICECS), 2011 18th IEEE International Conference on
Conference_Location :
Beirut
Print_ISBN :
978-1-4577-1845-8
Electronic_ISBN :
978-1-4577-1844-1
Type :
conf
DOI :
10.1109/ICECS.2011.6122273
Filename :
6122273
Link To Document :
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