Browsing Graduate School of Engineering and Science by Author "(ORCID & YÖK ID 144947) Demiroğlu, Cenk"
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Deep learning-based expressive speech synthesis: a systematic review of approaches, challenges, and resources
Barakat, Huda Mohammed Mohammed; Turk, O.; Demiroğlu, Cenk (Springer, 2024-02-12)Speech synthesis has made significant strides thanks to the transition from machine learning to deep learning models. Contemporary text-to-speech (TTS) models possess the capability to generate speech of exceptionally high ... -
Depression screening from voice samples of patients affected by parkinson’s disease
Özkanca, Yasin Serdar; Öztürk, M. G.; Ekmekci, Merve Nur; Atkins, D. C.; Demiroğlu, Cenk; Ghomi, R. H. (S. Karger AG, 2019-05-01)Depression is a common mental health problem leading to significant disability worldwide. It is not only common but also commonly co-occurs with other mental and neurological illnesses. Parkinson's disease (PD) gives rise ...
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