Research Article Open Access

Speech to Text in Indonesian Personal Assistant

Intan Sari Areni1, Ayu Dhiya Mufidah1, Indrabayu 1, Sri Wahyuni1, Ingrid Nurtanio1, Ida Rachmaniar Sahali1 and Anugrayani Bustamin1
  • 1 Universitas Hasanuddin, Indonesia
Journal of Computer Science
Volume 15 No. 6, 2019, 824-831

DOI: https://doi.org/10.3844/jcssp.2019.824.831

Submitted On: 20 March 2019 Published On: 19 June 2019

How to Cite: Areni, I. S., Mufidah, A. D., I., Wahyuni, S., Nurtanio, I., Sahali, I. R. & Bustamin, A. (2019). Speech to Text in Indonesian Personal Assistant. Journal of Computer Science, 15(6), 824-831. https://doi.org/10.3844/jcssp.2019.824.831

Abstract

Short Message Service (SMS) is one of the most often used features on smartphones. Delivery of SMS messages while driving can interrupt driver’s concentrations that may lead to an accident. Hence, Speech Recognition system in SMS message activity is required. In this research, the Speech Recognition system is able to convert speech as an Indonesian query in making messages, entering contacts without searching the phone list and equipped with push button for sending a message using Google Speech Recognition Application Programming Interface (API) System created using Java programming language with Android Studio Editor. The input data consist of training and testing data. Training data used is 20 voice data samples on STT message that consist of 10 different male voice and 10 different female voice samples for 7 similar words. While for testing data, 10 voice data samples are used that consist of 5 different voice samples for male and female. System performance based on Result Training Data (RTD), the Result Random Data (RRD) and Grade Success System (GSS). The results for send message show that RTD, RRD and GGS reach 100%, 96.74% and 98.37%, respectively. For add contact, the performance system obtained 100% for all parameters.

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Keywords

  • Personal Assistant
  • Speech Recognition
  • Short Message Service
  • ASR
  • Indonesian Language