Indonesian Automatic Speech Recognition For Command Speech Controller Multimedia Player

Vivien Arief Wardhany, Sritrusta Sukaridhoto, Amang Sudarsono

Abstract


The purpose of multimedia devices development is controlling through voice. Nowdays voice that can be recognized only in English. To overcome the issue, then recognition using Indonesian language model and accousticc model and dictionary. Automatic Speech Recognizier is build using engine CMU Sphinx with modified english language to Indonesian Language database and XBMC used as the multimedia player. The experiment is using 10 volunteers testing items based on 7 commands. The volunteers is classifiedd by the genders, 5 Male & 5 female. 10 samples is taken in each command, continue with each volunteer perform 10 testing command. Each volunteer also have to try all 7 command that already provided. Based on percentage clarification table, the word “Kanan” had the most recognize with percentage 83% while “pilih” is the lowest one. The word which had the most wrong clarification is “kembali” with percentagee 67%, while the word “kanan” is the lowest one. From the result of Recognition Rate by male there are several command such as “Kembali”, “Utama”, “Atas “ and “Bawah” has the low Recognition Rate. Especially for “kembali” cannot be recognized as the command in the female voices but in male voice that command has 4% of RR this is because the command doesn’t have similar word in english near to “kembali” so the system unrecognize the command. Also for the command “Pilih” using the female voice has 80% of RR but for the male voice has only 4% of RR. This problem is mostly because of the different voice characteristic between adult male and female which male has lower voice frequencies (from 85 to 180 Hz) than woman (165 to 255 Hz).The result of the experiment showed that each man had different number of recognition rate caused by the difference tone, pronunciation, and speed of speech. For further work needs to be done in order to improving the accouracy of the Indonesian Automatic Speech Recognition system.

Keywords: Automatic Speech Recognizer, Indonesian Acoustic Model, CMU Sphinx, indonesian Language Model, Recognition Rate, XBMC.


Full Text:

PDF

References


Ehsani Farzad and Knodt Sehda, Speech Technology in Computer‐Aided Language Leraning: Strengtgs and Limitation of new Call Paradigm, LLT Journal: Speech Technology in Computer‐Aided Language Learning, Vol 2, No 1. Pp 54‐73. 1998.

IkaNovitaDewi, FahriFirdausillah, CaturSupriyanto, Sphinx‐4 Indonesian Isolated Digit Speech Recognition, Journal of Theoretical and Applied Information Technology, Vol. 53 No.1, E‐ISSN: 1817‐3195, July 2013.

V. Ferdiansyah, and A. Purwarianti, Indonesian automatic speech recognition system using English‐based acoustic model, American Journal of Signal Processing 2(4): 60‐63, 2012.

Huang Xuedong, Acero alex, Hon Hsiao‐Wuen. Spoken Language Processing:a guide to theoty, algorithm, and system development. Prentice Hall (New Jersey), Ed , pp 05‐06, 2001.

Raza, Agha Ali. Design and Development of an Automatic Speech Recognition System for Urdu. Thesis, FAST‐National University of Computer and Emerging Sciences, Lahore Pakistan, 2009.




DOI: 10.24003/emitter.v2i2.25

Refbacks

  • There are currently no refbacks.


Copyright (c) 2016 EMITTER International Journal of Engineering Technology

EMITTER Journal Editorial Office

 

Politeknik Elektronika Negeri Surabaya

Jl. Raya ITS - Kampus PENS Sukolilo Surabaya 60111, INDONESIA

emitter@pens.ac.id   http://emitter.pens.ac.id   Telp : +62 31 594 7280   Fax : +62 31 594 6114