This study is intended to build the framework of a concatenative
TTS (Text to Speech) system for Turkish. The system is based on
concatenative, unit selection approach. It contains two different
speech databases comprised of units which are directly recorded and
cut from a continuous speech. Some digital signal features such as
zero crossing rate and energy of speech have been used. PSOLA
(Pitch Synchronous Overlap and Add) algorithm has been used for
smoothing while concatenating the units. Some subjective tests are
used to measure the success. The quality of the synthesized speech
is measured depending on intelligibility, the ability to be
understood, and naturallness, the closeness to human speech. Mean
Opinion Score (MOS) has been used for naturalness and Diagnostic
Rhyme Test (DRT) and Comprehension Test (CT) have been applied for
intelligibility. Although the system uses simple techniques, it
provides promising results, since the method is very well suited
for Turkish language structure. The study should be especially
useful to professionals and academicians in speech processing field
for Turkish like languages.
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