Özlem Öztürk

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In this paper, we address the lexicon design problem in Turkish large vocabulary speech recognition. Although we focus only on Turkish, the methods described here are general enough that they can be considered for other agglutinative languages like Finnish, Korean etc. In an agglutinative language, several words can be created from a single root word using(More)
Speech corpora design is one of the key issues in building high quality text to speech synthesis systems. Often read speech is used since it seems to be the easiest way to obtain a recorded speech corpus with highest control of the content. The main topic of this study is designing text for recording read speech corpora for concatenative text to speech(More)
The main objective of this research is to examine child cancer cases in Zonguldak/Turkey descriptively in epidemiological aspect with the help of GIS. Universe of the study is composed of 60 children between 1 and 19 years old who were treated in Children Oncology Clinic with a diagnosis of cancer. Whole universe was reached without selecting a sample in(More)
Naturalness of synthetic speech depends on appropriate modeling of prosodic aspects. Mostly, three prosody components are modeled: segmental duration, pitch contour and intensity. In this study, we present our work on modeling segmental duration in Turkish by using machine-learning algorithms. The models predict phone durations based on attributes such as(More)
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