Knowledge based speech synthesis by concatenation of phoneme samples

In this work a speech synthesis system is implemented. The system uses concatenation of phoneme waveforms as the method of synthesis. These waveforms are generated by sampling the speech of a human speaker and then separating it into its phonemes. These phoneme samples are stored in the hard disk to be used in the synthesis. Then the text to be read is separated into its syllables and each syllable is synthesized by concatenating the phoneme samples. This method is facilitated by the structure of the Turkish language and some exceptions are taken into account. The same synthesis method is then applied using diphones as the units of synthesis. This increases the intelligibility of the speech but also increases the storage needs of the system.