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This paper proposes a new text-to-speech synthesis method based on automatic synthesis unit generation techniques using natural speech database. We have termed the text Oriented Clustering (COC). e, 627 phonetic synthesis units were generated automatically based on 432 words uttered by a male speaker. This systematic approach has several advantages. First, as synthesis units can be generated ically without any a priori phonological knowledge, sy to change the number of units and voices. Second, following from this, the technique can be applied to any language. Third, the generation of allophonic synthesis units is not dependent on the human decisions but on the statistical characteristics of spectral parameters in natural speech. Thus, the generated units are more an those obtained through other methods, ult that more intelligible speech can be reconstructed.