Searching relevant syllable context by clustering for alignment in modern Greek speech

We present some results on the optimal design of syllable databases for modern Greek. We show that speaker gender or stress are not crucial criteria for voiced syllables, whereas distance to silence has to be taken into account. Such syllable databases are exploited in an alignment system based on dynamic time warping for modern Greek speech. The overall architecture of the alignment system is also presented.