Browsing by Author "Khodabakhsh, Ali"
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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 ... -
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 ... -
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 ... -
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 ... -
Medical podcasting in Iran; pilot, implementation and attitude evaluation
Heydarpour, P; Hafezi-Nejad, N.; Khodabakhsh, Ali; Khosravi, M.; Khoshkish, S.; Sadeghian, M.; Samavat, B.; Faturechi, A.; Pasalar, P.; Dehpour, A. R. (Tehran University of Medical Sciences, 2013)Podcasting has become a popular means of transferring knowledge in higher education through making lecture contents available to students at their convenience. Accessing courses on media players provides students with ... -
Natural language features for detection of Alzheimer's disease in conversational speech
Khodabakhsh, Ali; Kuşçuoğlu, Serhan; Demiroğlu, Cenk (IEEE, 2014)Automatic monitoring of the patients with Alzheimer's disease and diagnosis of the disease in early stages can have a significant impact on the society. Here, we investigate an automatic diagnosis approach through the use ... -
OCR-aided person annotation and label propagation for speaker modeling in TV shows
Budnik, M.; Besacier, L.; Khodabakhsh, Ali; Demiroğlu, Cenk (IEEE, 2016)In this paper, we present an approach for minimizing human effort in manual speaker annotation. Label propagation is used at each iteration of an active learning cycle. More precisely, a selection strategy for choosing the ... -
Persica: A Persian corpus for multi-purpose text mining and natural language processing
Eghbalzadeh, H.; Hosseini, B; Khadivi, S.; Khodabakhsh, Ali (IEEE, 2012)Lack of multi-application text corpus despite of the surging text data is a serious bottleneck in the text mining and natural language processing especially in Persian language. This paper presents a new corpus for NEWS ... -
Postprocessing synthetic speech with a complex cepstrum vocoder for spoofing phase-based synthetic speech detectors
Demiroğlu, Cenk; Buyuk, O.; Khodabakhsh, Ali; Maia, R. (IEEE, 2017-06)State-of-the-art speaker verification systems are vulnerable to spoofing attacks. To address the issue, high-performance synthetic speech detectors (SSDs) for existing spoofing methods have been proposed. Phase-based SSDs ... -
SAS : A speaker verification spoofing database containing diverse attacks
Wu, Z.; Khodabakhsh, Ali; Demiroğlu, Cenk; Yamagishi, J.; Saito, D.; Toda, T.; King, S. (IEEE, 2015)This paper presents the first version of a speaker verification spoofing and anti-spoofing database, named SAS corpus. The corpus includes nine spoofing techniques, two of which are speech synthesis, and seven are voice ... -
Spoofing and anti-spoofing techniques for text-independent speaker verification systems
Khodabakhsh, Ali (2015-10)There has been substantial progress in the speaker verification field in recent years. I-vector based approach in particular received significant attention due to its high performance. Improvements in the verification ... -
Spoofing attacks to i-vector based voice verification systems using statistical speech synthesis with additive noise and countermeasure
Özbay, Mustafa Caner; Khodabakhsh, Ali; Mohammadi, Amir; Demiroğlu, Cenk (IEEE, 2016)Even though improvements in the speaker verification (SV) technology with i-vectors increased their real-life deployment, their vulnerability to spoofing attacks is a major concern. Here, we investigated the effectiveness ... -
Spoofing voice verification systems with statistical speech synthesis using limited adaptation data
Khodabakhsh, Ali; Mohammadi, Amir; Demiroğlu, Cenk (Elsevier, 2017-03)State-of-the-art speaker verification systems are vulnerable to spoofing attacks using speech synthesis. To solve the issue, high-performance synthetic speech detectors (SSDs) for attack methods have been proposed recently. ...
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