Implementation of Android Based Speech Recognition for Indonesian Geography Dictionary

ULTIMA Computing

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Field Value
 
Title Implementation of Android Based Speech Recognition for Indonesian Geography Dictionary
 
Creator Hugeng, Hugeng
Hansel, Edbert
 
Description We have built an application of speech recognition for Indonesian geography dictionary based on Android operating system, named GAIA. This application uses a smartphone as a device to receive input in the form of a spoken word from a user. The approach used in recognition is Hidden Markov Model which is contained in the Pocketsphinx library. The phonemes used are Indonesian phonemes’ rule. The advantage of this application is that it can be used without internet access. In the application testing, word detection is done with four conditions to determine the level of accuracy. The four conditions are near silent, near noisy, far silent, and far noisy. From the testing and analysis conducted, it can be concluded that GAIA application can be built as a speech recognition application on Android for Indonesian geography dictionary; with the results in the near silent condition accuracy of word recognition reaches an average of 52.87%, in the near noisy reaches an average of 14.5%, in the far silent condition reaches an average of 23.2%, and in the far noisy condition reaches an average of 2.8%.
 
Publisher Jurnal Sistem Komputer
ULTIMA Computing
 
Contributor
 
Date 2016-08-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Artikel yang dipeer-review
 
Format application/pdf
 
Identifier http://ejournals.umn.ac.id/index.php/SK/article/view/296
 
Source Jurnal Sistem Komputer; Vol 7, No 2 (2015): Ultima Computing
ULTIMA Computing; Vol 7, No 2 (2015): Ultima Computing
2549-4007
2355-3286
 
Language ind
 
Relation http://ejournals.umn.ac.id/index.php/SK/article/view/296/262
 
Rights ##submission.copyrightStatement##
 

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