Tolga Çiloğlu

E-mail

ciltolga@metu.edu.tr

Department

Department of Electrical and Electronics Engineering

ORCID

0000-0002-9703-5861

Scopus Author ID

16229315800

Nonlinear interactive source-filter models for speech KOÇ, Turgay; Çiloğlu, Tolga (2016-03-01) The linear source-filter model of speech production assumes that the source of the speech sounds is independent of the filter. However, acoustic simulations based on the physical speech production models show that when the...
Enhanced Modelling of Guitar Distortion Zeki, Engin; Çiloğlu, Tolga (2015-05-19) Digital audio effects are used by many electric guitar players. These effects help players to find their desired tones and sounds. For the modelling of main nonlinear guitar effects, distortion and overdrive, this paper in...
Removing Grating Lobes in Sparse Sensor Arrays with a Nonlinear Approach Epcacan, Erdal; Çiloğlu, Tolga; Candan, Çağatay; Mehmetcik, Erdal (2015-05-19) Two of the most important criteria for a sensor array beam-pattern are beamwidth and side-lobe level. A narrower beamwidth means a better angular resolution and well separation of close sources. The beamwidth of a sensor a...
Multimodal concept detection in broadcast media: KavTan SOYSAL, Medeni; Alatan, Abdullah Aydın; TEKİN, Mashar; ESEN, Ersin; SARACOĞLU, Ahmet; Acar, Banu Oskay; Ozan, Ezgi Can; Ates, Tugrul K.; SEVİMLİ, Hakan; SEVİNÇ, Muge; ATIL, Ilkay; Ozkan, Savas; Arabaci, Mehmet Ali; TANKIZ, Seda; KARADENİZ, Talha; ÖNÜR, Duygu; SELÇUK, Sezin; Alatan, A. Aydin; Çiloğlu, Tolga (Springer Science and Business Media LLC, 2014-10-01) Concept detection stands as an important problem for efficient indexing and retrieval in large video archives. In this work, the KavTan System, which performs high-level semantic classification in one of the largest TV arc...
AN UNSUPERVISED AUDIO SEGMENTATION METHOD USING BAYESIAN INFORMATION CRITERION Ozan, Ezgi Can; Tankiz, Seda; Acar, Banu Oskay; Çiloğlu, Tolga (2014-05-23) Audio segmentation is a well-known problem which can be considered from various angles. In the context of this paper, audio segmentation problem is to extract small "homogeneous" pieces of audio in which the content does n...
Comments on "Detection of signals of unknown duration by multiple energy detectors" SİPAHİGİL, OKTAY; Çiloğlu, Tolga (Elsevier BV, 2014-01-01) In the 2010 paper entitled "Detection of signals of unknown duration by multiple energy detectors", a procedure to detect signals of unknown duration under Gaussian noise has been proposed and probability of detection and ...
Automatic Segmentation of High Speed Video Images of Vocal Folds KOÇ, Turgay; Çiloğlu, Tolga (Hindawi Limited, 2014-01-01) An automatic method for segmenting glottis in high speed endoscopic video (HSV) images of vocal folds is proposed. The method is based on image histogram modeling. Three fundamental problems in automatic histogram based pr...
CFAR processing with switching exponential smoothers for nonhomogeneous environments GURAKAN, Berk; Candan, Çağatay; Çiloğlu, Tolga (2012-05-01) Conventional constant false alarm rate (CFAR) methods use a fixed number of cells to estimate the background variance. For homogeneous environments, it is desirable to increase the number of cells, at the cost of increased...
Detection of Post Apnea Sounds and Apnea Periods from Sleep Sounds Karci, Ersin; Serinağaoğlu Doğrusöz, Yeşim; Çiloğlu, Tolga (2011-09-03) Obstructive Sleep Apnea Syndrome (OSAS) is defined as a sleep related breathing disorder that causes the body to stop breathing for about 10 seconds and mostly ends with a loud sound due to the opening of the airway. OSAS ...
Bimodal automatic speech segmentation based on audio and visual information fusion Akdemir, Eren; Çiloğlu, Tolga (2011-07-01) Bimodal automatic speech segmentation using visual information together with audio data is introduced. The accuracy of automatic segmentation directly affects the quality of speech processing systems using the segmented da...