Indonesia harus mampu mengembangkan sains dan teknologi yang ramah lingkungan sesuai dengan perkembangannya di tanah air, tanpa teknologi yang boros sumber alam dan energi.
Hal yang penting juga ialah memahami dan menghayati filsafat sains untuk bisa menyatakan kebenaran ilmiah dan bisa membedakannya dengan "kebenaran" yang diperoleh dengan cara lain.
The Houw Liong
19 May 2012
Fuzzy Hidden Markov Models for Indonesian Speech Classification
Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.16, No.3 pp. 381-387, 2012
Indonesia has many tribes, so that there are many dialects. Speech classification is difficult if the database uses speech signals from various people who have different characteristics because of gender and dialect. The different characteristics will influence frequency, intonation, amplitude, and period of the speech. It makes the system must be trained for the various templates reference of speech signal. Therefore, this study has been developed for Indonesian speech classification. The solution is a new combination of fuzzy on hidden Markov models. The result shows a new version of fuzzy hiddenMarkovmodels is better than hidden Markov model.
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