DocumentCode :
1878928
Title :
Transcription pattern for mobile call
Author :
Tamgno, James K. ; Akoha, Loic ; Tidye, Kibanou Eric
Author_Institution :
DTE-LTI, ESMT-UCAD, Dakar, Senegal
fYear :
2015
fDate :
1-3 July 2015
Firstpage :
722
Lastpage :
726
Abstract :
These paper summarizes the research carried out as part of the design of an Android application to transcript phone calls. The system will automatically collect out any mobile calls and transcript it with voice recognition into text, which will therefor be reordered in the memory of each mobile phone of the callers. The system allows someone to make calls and send text messages generated to both. In order to archive this, we first of all analyze voice recognition models available on different platform (iOS and Android, BlackBerry, Nokia), then we design using Android features to build new patterns necessaries to setup owner solution.
Keywords :
electronic messaging; mobile computing; smart phones; speech recognition; Android application; mobile call; text message; transcription pattern; voice recognition model; Biological system modeling; Computers; Mobile communication; Smart phones; Software; Speech; Speech recognition; Android; GSM; Mobile System; Speech;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Communication Technology (ICACT), 2015 17th International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-8-9968-6504-9
Type :
conf
DOI :
10.1109/ICACT.2015.7224890
Filename :
7224890
Link To Document :
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