IMPLEMENTATION OF ANDROID BASED SPEECH RECOGNITION FOR INDONESIAN GEOGRAPHY DICTIONARY
Abstrak: 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%.
Index Terms: speech recognition, Indonesian geography dictionary, Hidden
Markov Model, Pocketsphinx, Android
Penulis: Hugeng, Edbert Hansel
Kode Jurnal: jptkomputerdd150435