Development of Language Identification using Line Spectral Frequencies and Learning Vector Quantization Networks

Authors

  • Teddy Surya Gunawan Electrical and Computer Engineering Department, Kulliyyah of Engineering, International Islamic University Malaysia, Jalan Gombak, 53100 Kuala Lumpur, Malaysia
  • Mira Kartiwi Information Systems Department, Kulliyyah of Information and Communication Technology International Islamic University Malaysia, Jalan Gombak, 53100 Kuala Lumpur, Malaysia
  • Nor Hazima Ardzemi Electrical and Computer Engineering Department, Kulliyyah of Engineering, International Islamic University Malaysia, Jalan Gombak, 53100 Kuala Lumpur, Malaysia

Keywords:

Language Identification, Learning Vector Quantization Networks, Line Spectral Frequencies,

Abstract

Language identification system has become a very active research nowadays due to the need of intercultural human communication. This paper proposed a Language Identification System using Line Spectral Frequencies (LSF) and Linear Vector Quantization (LVQ) network. LSF was used due to its robustness compared to normal linear predictor coefficients (LPC), while LVQ was used due to its low complexity. Three languages, i.e. Arabic, Malay, and Thai, for both native male and female speakers were recorded at IIUM Recording Studio. Several experiments have been conducted to find the optimum parameters, i.e. sampling frequency (8000 Hz), LPC order (18), number of hidden layers (300), and learning rate (0.01). Results show that our proposed system is able to recognize the trained languages with the recognition rate of 73.8%. Further research could be conducted to improve the performance using different features, classifiers, or using deep learning neural network.

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Published

2017-11-30

How to Cite

Gunawan, T. S., Kartiwi, M., & Ardzemi, N. H. (2017). Development of Language Identification using Line Spectral Frequencies and Learning Vector Quantization Networks. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(3-7), 21–27. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3060

Issue

Vol. 9 No. 3-7: Intelligent System Modeling and Control

Section

Articles

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