The 'Neural' Phonetic Typewriter
Computer
Text-to-speech synthesis for embedded speech communicators
AIKED'06 Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
WSEAS Transactions on Computers
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The segmentation of uttered speech into phonetic units is a key processing task for successfully implementing speech recognition systems. This paper presents a smart approach to phonetic segmentation of uttered speech that separates vowels from consonants. Time-domain feature-extraction algorithms are applied to speech to extract features at minimum computational cost. Fuzzy decision logic is used to infer the effective separation point, considering coarticulations specific to uttered speech. Experimental results have shown this approach to be effective in separating phonetic units, while requiring minimal computing power and reducing system complexity.