Browsing Computer Science by OzU Authors "Demiroğlu, Cenk"
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Analysis of speaker similarity in the statistical speech synthesis systems using a hybrid approach
Güner, Ekrem; Mohammadi, A.; Demiroğlu, Cenk (IEEE, 2012)Statistical speech synthesis (SSS) approach has become one of the most popular and successful methods in the speech synthesis field. Smooth speech transitions, without the spurious errors that are observed in unit selection ... -
Analysis of speech-based measures for detecting and monitoring Alzheimer’s disease
Khodabakhsh, Ali; Demiroğlu, Cenk (Springer Science+Business Media, 2014)Automatic diagnosis of the Alzheimer’s disease as well as monitoring of the diagnosed patients can make significant economic impact on societies. We investigated an automatic diagnosis approach through the use of speech ... -
Anti-spoofing for text-independent speaker verification: An initial database, comparison of countermeasures, and human performance
Wu, Z.; Leon, P. L. de; Demiroğlu, Cenk; Khodabakhsh, Ali (IEEE, 2016-04)In this paper, we present a systematic study of the vulnerability of automatic speaker verification to a diverse range of spoofing attacks. We start with a thorough analysis of the spoofing effects of five speech synthesis ... -
Cross-lingual speaker adaptation for statistical speech synthesis using limited data
Sarfjoo, Seyyed Saeed; Demiroğlu, Cenk (Interspeech, 2016)Cross-lingual speaker adaptation with limited adaptation data has many applications such as use in speech-to-speech translation systems. Here, we focus on cross-lingual adaptation for statistical speech synthesis (SSS) ... -
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 ... -
Detection of Alzheimer's disease using prosodic cues in conversational speech
Khodabakhsh, Ali; Kuşçuoğlu, Serhan; Demiroğlu, Cenk (IEEE, 2014)Automatic diagnosis of the Alzheimer's disease as well as monitoring of the diagnosed patients can make significant economic impact on societies. We investigated an automatic diagnosis approach through the use of speech ... -
Disentangling human trafficking types and the identification of pathways to forced labor and sex: an explainable analytics approach
Eryarsoy, E.; Topuz, K.; Demiroğlu, Cenk (Springer, 2023-07)Terms such as human trafficking and modern-day slavery are ephemeral but reflect manifestations of oppression, servitude, and captivity that perpetually have threatened the basic right of all humans. Operations research ... -
DNN-based speaker-adaptive postfiltering with limited adaptation data for statistical speech synthesis systems
Öztürk, M. G.; Ulusoy, O.; Demiroğlu, Cenk (IEEE, 2019)Deep neural networks (DNNs) have been successfully deployed for acoustic modelling in statistical parametric speech synthesis (SPSS) systems. Moreover, DNN-based postfilters (PF) have also been shown to outperform conventional ... -
Eigenvoice speaker adaptation with minimal data for statistical speech synthesis systems using a MAP approach and nearest-neighbors
Mohammadi, Amir; Sarfjoo, Seyyed Saeed; Demiroğlu, Cenk (IEEE, 2014-12)Statistical speech synthesis (SSS) systems have the ability to adapt to a target speaker with a couple of minutes of adaptation data. Developing adaptation algorithms to further reduce the number of adaptation utterances ... -
Eklemeli̇ di̇ller i̇çi̇n düşük bellekli̇ melez i̇stati̇sti̇ksel/bi̇ri̇m seçmeli̇ MKS si̇stemi̇
Guner, Ekrem; Demiroğlu, Cenk (IEEE, 2012)The HMM-based TTS (HTS) approach has been increasingly getting more attention from the TTS research community. One of the advantage is the lack of spurious errors that are observed in the unit selection scheme. Another ... -
Evaluation of linguistic and prosodic features for detection of Alzheimer’s disease in Turkish conversational speech
Khodabakhsh, Ali; Yesil, Fatih; Guner, Ekrem; Demiroğlu, Cenk (Springer Science+Business Media, 2015-12)Automatic diagnosis and monitoring of Alzheimer’s disease can have a significant impact on society as well as the well-being of patients. The part of the brain cortex that processes language abilities is one of the earliest ... -
Finding relevant features for statistical speech synthesis adaptation
Bruneau, P.; Parisot, O.; Mohammadi, Amir; Demiroğlu, Cenk; Ghoniem, M.; Tamisier, T. (European Language Resources Association, 2014-05)Statistical speech synthesis (SSS) models typically lie in a very high-dimensional space. They can be used to allow speech synthesis on digital devices, using only few sentences of input by the user. However, the adaptation ... -
Gauss karışım modeli tabanlı konuşmacı belirleme sistemlerinde klasik MAP uyarlanması yönteminin performans analizi
Erdoğan, A.; Demiroğlu, Cenk (IEEE, 2010)Gaussian mixture models (GMM) is one of the most commonly used methods in text-independent speaker identification systems. In this paper, performance of the GMM approach has been measured with different parameters and ... -
Gauss karışım modeli tabanlı konuşmacı doğrulama sistemlerinde kişiye ve kanala uyarlanmada klasik MAP tabanlı yöntemlerin performans analizi
Koşunda, Serol; Yeşil, Fatih; Ayazoğlu, Yaprak; Demiroğlu, Cenk (IEEE, 2011)In this paper, performance of Gaussian mixture models (GMM) based algorithms implemented in Speech Processing Laboratory at Ozyegin University, within NIST SRE2004 and 2006 database was reported. Gaussian mixture models ... -
Hybrid nearest-neighbor/cluster adaptive training for rapid speaker adaptation in statistical speech synthesis systems
Mohammadi, Amir; Demiroğlu, Cenk (International Speech Communication Association, 2013)Statistical speech synthesis (SSS) approach has become one of the most popular methods in the speech synthesis field. An advantage of the SSS approach is the ability to adapt to a target speaker with a couple of minutes ... -
Hybrid statistical/unit-selection Turkish speech synthesis using suffix units
Demiroğlu, Cenk; Güner, Ekrem (Springer International Publishing, 2016-12)Unit selection based text-to-speech synthesis (TTS) has been the dominant TTS approach of the last decade. Despite its success, unit selection approach has its disadvantages. One of the most significant disadvantages is ... -
Konuşmacı aradeğerlemeli SMM tabanlı metinden konuşma sentezleme si̇stemi
Orhan, Mustafa Cem; Demiroğlu, Cenk (IEEE, 2011)Hidden Markov Model (HMM) based text-to-speech (TTS) systems offer many advantages compared to the concatenative approach. One of those advantages is the ability to interpolate between different speakers to generate new ... -
LIG at MediaEval 2015 multimodal person discovery in broadcast TV task
Budnik, M.; Safadi, B.; Besacier, L.; Quénot, G.; Khodabakhsh, Ali; Demiroğlu, Cenk (CEUR-WS, 2015)In this working notes paper the contribution of the LIG team (partnership between Univ. Grenoble Alpes and Ozyegin University) to the Multimodal Person Discovery in Broadcast TV task in MediaEval 2015 is presented. The ... -
Multi-lingual depression-level assessment from conversational speech using acoustic and text features
Özkanca, Yasin Serdar; Demiroğlu, Cenk; Besirli, A.; Çelik, S. (International Speech Communication Association, 2018)Depression is a common mental health problem around the world with a large burden on economies, well-being, hence productivity, of individuals. Its early diagnosis and treatment are critical to reduce the costs and even ... -
NatiQ: An end-to-end text-to-speech system for arabic
Abdelali, A.; Durrani, N.; Demiroğlu, Cenk; Dalvi, F.; Mubarak, H.; Darwish, K. (Association for Computational Linguistics (ACL), 2022)NatiQ is end-to-end text-to-speech system for Arabic. Our speech synthesizer uses an encoder-decoder architecture with attention. We used both tacotron-based models (tacotron-1 and tacotron-2) and the faster transformer ...
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