Browsing Electrical & Electronics Engineering by Author "Demiroğlu, Cenk"
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Automatic detection of attachment style in married couples through conversation analysis
Koçak, Tuğçe Melike; Dibek, B. Ç.; Polat, Esma Nafiye; Kafesçioğlu, Nilüfer; Demiroğlu, Cenk (Springer, 2023-05-31)Analysis of couple interactions using speech processing techniques is an increasingly active multi-disciplinary field that poses challenges such as automatic relationship quality assessment and behavioral coding. Here, we ... -
Comparison of text-independent speaker verification systems in a multi-class, semi-automatic detection scenario
Yeşil, Fatih (2013-06)Performance of the speaker veri cation systems is typically measured based on their binary decision accuracy. Soft outputs of the systems are used mostly for calibration or multiple system combination purposes. However, ... -
Deep learning-based speaker-adaptive postfiltering with limited adaptation data for embedded text-to-speech synthesis systems
Eren, Eray; Demiroğlu, Cenk (Elsevier, 2023-06)End-to-end (e2e) speech synthesis systems have become popular with the recent introduction of text-to-spectrogram conversion systems, such as Tacotron, that use encoder–decoder-based neural architectures. Even though those ... -
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 ... -
Depression-level assessment from multi-lingual conversational speech data using acoustic and text features
Demiroğlu, Cenk; Besirli, A.; Özkanca, Yasin Sedar; Celik, S. (Springer Nature, 2020-11-17)Depression is a widespread mental health problem around the world with a significant burden on economies. Its early diagnosis and treatment are critical to reduce the costs and even save lives. One key aspect to achieve ... -
Developing session-based personalized accommodation recommender system by using LSTM
Can, Y. S.; Erkut, H.; Giritli, E. B.; Kutluay, H.; Buyukoguz, K.; Demiroğlu, Cenk (IEEE, 2022)Tourism sector has been transformed by the advances in the Internet technology. Users can search for information and can select their destination from various alternatives by themselves, which brings the need for personal ... -
A hybrid statistical/unit-selection text-to-speech synthesis system for morphologically rich languages
Güner, Ekrem (2013-06)Two most prominent examples of Text-to-Speech (TTS) systems are Unit Selection based TTS (UTTS) and the Hidden Markov Model (HMM) based TTS (HTTS). UTTS has been the dominant approach of the last decade while HTTS has been ... -
Parkinson’s disease diagnosis using machine learning and voice
Wroge, T. J.; Özkanca, Yasin Serdar; Demiroğlu, Cenk; Si, D.; Atkins, D. C.; Ghomi, R. H. (IEEE, 2018)Biomarkers derived from human voice can offer in-sight into neurological disorders, such as Parkinson's disease (PD), because of their underlying cognitive and neuromuscular function. PD is a progressive neurodegenerative ...
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