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In this research, Uyghur language syllables structure was analyzed. First, distribution probability of alphabets and syllables were analyzed by using a modern Uyghur Language word dictionary which includes 37,255 words and conversational sentences selected from Uyghur websites. Next, syllables with most frequency were confirmed by comparing the result with the previous study. Finally, syllable speech database were built and speech signal on time and frequency domain such as signal length and F1 and F2 formant plain were investigated. In this study, data was analyzed manually and the most frequent syllables were found with high preciseness. Speech database was built for making speech recognition systems. The speech database is precise but not complete, it only contains few experimenters. As a future work more experimenters will be needed to accomplish a completed database for Uyghur language speech recognition system.
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