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Home > Vol 1, No 1 (2013) > Suhardiyanto

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Mengapa Mesin Pencari Suara Gagal Mengenali Bahasa Indonesia? Sebuah Kajian Awal Tentang Asr (automatic speech recognition) Bahasa Indonesia

Totok Suhardiyanto

Abstract

This paper is about the study of Indonesian Automatic Speech Recognition (ASR) designed by Informational- Technological Computer ( TIK).Specifically, this paper is aimed at describing how this tool operates in recognizing some in-puts in Indonesian language. TIK industry has something to do with Indonesian PWO  where the use of the smart phones developes massively in Indonesia. This study processes around 10.774 data in Indonesian language in form of sentence, phrase, and word. From this number, less than 20% can be categorized perfect. The others have an error in format and recognition. This is due to some factors bringing about the failure of ASR in recognising the in put in Indonesian language.

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References

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Goldwater, S., Jurasfky, D., dan Manning, C.D. 2010. Which word are hard to recognize? Prosodic, lexical, and disfluency factors that increase speech recognition error rates. Speech Communication 52, 181-200.

Jurafsky, D. dan Martin, J.H. 2008. Speech and Language Processing (2nd Edition). New York: Pearson Prentice Hall.

Luce, P., dan Pisoni, D. 1998. Recognizing spoken words: the neighborhood activation model. Ear Hearing 19, 1-36.

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DOI: https://doi.org/10.25077/ar.1.1.88-98.2013 Copyright (c) 2013 Totok Suhardiyanto

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2550-1011 (Online)

2339-1162 (Print)

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Masyarakat Linguistik Indonesia (MLI) Universitas Andalas.



EuroPub


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