DocumentCode :
650022
Title :
Voice recognition framework for open rich-client mobile applications
Author :
Monserrat Torres Hernandez, Irene ; Meneses Viveros, Amilcar ; Hernandez Rubio, Erika ; Carvajal-Gamez, B.E.
Author_Institution :
Dept. de Comput., CINVESTAV-IPN, Mexico City, Mexico
fYear :
2013
fDate :
Sept. 30 2013-Oct. 4 2013
Firstpage :
302
Lastpage :
306
Abstract :
The presentation layer, in the pattern for mobile client application architectures, is responsible for managing the user interface. For the case of open systems, the components of this layer must be adapted to the capabilities and constraints of mobile devices for processing. The ability of an open application process can be adapted for each mobile client applications generated the concept of “rich-client”. The rich-client applications always have the presentations layer and business layer, inside the presentation layer are the UI components. Traditionally the presentation layer has the processing and the UI component, however the advantage that a rich-client presents is that the device or an external service can execute processing. The main advantage to execute the process inside the device is to use the features and resources of mobile device. In rich-client applications are intended to API´s and frameworks UI components are open and processing is performed, if possible, taking advantage of the device´s resources. This paper presents the implementation of the speech recognition component for rich-client applications. The API definition of this component is based on HTML5 and JavaScript. For the processing of this component has been made vocal recognition prototype that runs natively on Android and iOS devices. The processing of this component has been tested in a prototype based on a recognition of vowels that runs natively on Android and iOS devices.
Keywords :
Java; application program interfaces; hypermedia markup languages; mobile computing; operating systems (computers); software architecture; speech recognition; user interfaces; API; Android devices; HTML5; JavaScript; UI component; iOS devices; mobile client application architectures; open rich-client mobile applications; open systems; user interface; voice recognition framework; API; crossplatform; framework; mobile applications; rich-client application; speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering, Computing Science and Automatic Control (CCE), 2013 10th International Conference on
Conference_Location :
Mexico City
Print_ISBN :
978-1-4799-1460-9
Type :
conf
DOI :
10.1109/ICEEE.2013.6676053
Filename :
6676053
Link To Document :
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