Abstract

Human-machine interaction has been growing with the discovery of artificial intelligence technology. The development of human-machine interaction leads to a more natural interaction. In daily interactions, human uses speech, more dominant than the other way such as gestures and eye contact. Speech is the vocalized form of human communication which is closely related to language system. The problem is meaning, ambiguity, and the language that is not according to the rules of syntax, causing the command translation become more complex. To understand the meaning of the voice command, it is necessary to know the semantic and syntactic structure of sentences. An artificial intelligence technology that can understand Indonesian voice commands for robotic applications will be developed in this research. The purpose of this research is to translate voice command into the robots action, to generate human-machine interaction more natural. The voice command will be extracted using bark-frequency cepstral coefficients. Cepstral identified into words using neural networks. Words in a complete sentences will be processed using natural language processing so that, the meaning and appropriate action from the given command can be executed. Speech recognition experiments with 28 sets of speech signal obtain 82 % accuracy, while natural language processing experiments obtain 93 % accuracy with 50 sets of learning data.

Original languageEnglish
Title of host publicationProceedings - 5th International Conference on Electrical Engineering and Informatics
Subtitle of host publicationBridging the Knowledge between Academic, Industry, and Community, ICEEI 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages638-643
Number of pages6
ISBN (Electronic)9781467373197
DOIs
Publication statusPublished - 10 Dec 2015
Event5th International Conference on Electrical Engineering and Informatics, ICEEI 2015 - Legian-Bali, Indonesia
Duration: 10 Aug 201511 Aug 2015

Publication series

NameProceedings - 5th International Conference on Electrical Engineering and Informatics: Bridging the Knowledge between Academic, Industry, and Community, ICEEI 2015

Conference

Conference5th International Conference on Electrical Engineering and Informatics, ICEEI 2015
Country/TerritoryIndonesia
CityLegian-Bali
Period10/08/1511/08/15

Keywords

  • Natural language processing
  • bark-frequency cepstral coefficients
  • neural network

Fingerprint

Dive into the research topics of 'Indonesian natural voice command for robotic applications'. Together they form a unique fingerprint.

Cite this