Control of electronic devices using neural network based sundanese speech recognition

Hariyanto, Aries Subiantoro

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This paper describes how speech recognition automatically uses the local language that originated from Indonesia, namely the Sundanese, which can control electronic devices in the home. Sundanese is the second most widely used regional language in Indonesia after Java. Voice recognition using Sundanese is carried out in this study to be able to control several electronic devices directly with high accuracy. The method used in the introduction of Sundanese is the Mel Frequency Cepstral Coefficient (MFCC) extraction method and identification of backpropagation-based neural networks. There are 10 Sundanese instructions used in the introduction to speech as input to the system, and each instruction has 2 to 3 Sundanese syllables. The output used by the author in this paper is five household electronic devices, to turn on or turn off controlled output using 2 Sundanese instructions. The data used in the backpropagation training process is 300 data; each instruction is 30 data. The results of training weights can produce an accuracy rate of 96.7% when testing the system. The control system uses the MFCC method and artificial neural network backpropagation algorithm so that the program works and Sundanese language voice recognition is good.

Original languageEnglish
Title of host publication2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728128252
DOIs
Publication statusPublished - Jun 2019
Event2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019 - Depok, Indonesia
Duration: 28 Jun 201930 Jun 2019

Publication series

Name2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019

Conference

Conference2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019
Country/TerritoryIndonesia
CityDepok
Period28/06/1930/06/19

Keywords

  • BPNN
  • Loss function
  • MFCC
  • Speech Recognition
  • Sundanese

Fingerprint

Dive into the research topics of 'Control of electronic devices using neural network based sundanese speech recognition'. Together they form a unique fingerprint.

Cite this