Yazar "Güz, Ümit" için listeleme
-
Fingertip electrocardiogram and speech signal based biometric recognition system
Güven, Gökhan (Işık Üniversitesi, 2021-12-27)Fingertip electrocardiogram and speech signal based biometric recognition system In this research work, we presented a one-dimensional CNN-based person identification system which depends on the combination of both speech ... -
Generative and discriminative methods using morphological information for sentence segmentation of Turkish
Güz, Ümit; Favre, Benoit; Hakkani Tür, Dilek; Tür, Gökhan (IEEE-INST Electrical Electronics Engineers Inc, 2009-07)This paper presents novel methods for generative, discriminative, and hybrid sequence classification for segmentation of Turkish word sequences into sentences. In the literature, this task is generally solved using statistical ... -
Işık Üniversitesi ileri teknolojinin önemli bir parçası
İldaş, Görkem; Güz, Ümit; Yarman, Sıddık; Dalva, Doğan; Işık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü (Show TV, 2011-08-01)Işık Üniversitesi Elektrik-Elektronik Mühendisliği öğretim görevlisi Yrd. Doç. Dr. Ümit Güz ve Işık Üniversitesi Elektrik-Elektronik Mühendisliği Yüksek Lisans Öğrencisi Doğan Dalva'nın, Show TV kanalında yayınlanan, Görkem ... -
Model adaptation for dialog act tagging
Tür, Gökhan; Güz, Ümit; Hakkani Tür, Dilek (IEEE, 2006)In this paper, we analyze the effect of model adaptation for dialog act tagging. The goal of adaptation is to improve the performance of the tagger using out-of-domain data or models. Dialog act tagging aims to provide a ... -
Modeling of electrocardiogram signals using predefined signature and envelope vector sets
Gürkan, Hakan; Güz, Ümit; Yarman, Bekir Sıddık Binboğa (Hindawi Publishing Corporation, 2007)A novel method is proposed to model ECG signals by means of "predefined signature and envelope vector sets (PSEVS)." On a frame basis, an ECG signal is reconstructed by multiplying three model parameters, namely, predefined ... -
Multi-view semi-supervised learning for dialog act segmentation of speech
Güz, Ümit; Cuendet, Sebastien; Hakkani Tür, Dilek; Tür, Gökhan (IEEE-INST Electrical Electronics Engineers Inc, 2010-02)Sentence segmentation of speech aims at determining sentence boundaries in a stream of words as output by the speech recognizer. Typically, statistical methods are used for sentence segmentation. However, they require ... -
A new algorithm for high speed speech and audio coding
Güz, Ümit; Gürkan, Hakan; Yarman, Bekir Sıddık Binboğa (IEEE, 2007)In this work, a new mathematical modeling approach is proposed for the representation of the speech and audio signals. This approach is based on the generation of the so called Predefined Signature Sequence (PSS) and ... -
A new coding method for speech and audio signals
Güz, Ümit; Gürkan, Hakan; Yarman, Bekir Sıddık Binboğa (IEEE, 2005)In this paper a new representation or modeling method of speech signals is introduced. The proposed method is based on the generation of the so-called Predefined Signature S={S R } and Envelope vector E={E K } Sets (PSEVS). ... -
A new method to represent speech signals via predefined signature and envelope sequences
Güz, Ümit; Gürkan, Hakan; Yarman, Bekir Sıddık Binboğa (Hindawi Publishing Corporation, 2007)A novel systematic procedure referred to as "SYMPES" to model speech signals is introduced. The structure of SYMPES is based on the creation of the so-called predefined "signature S = {S(R)(n)} and envelope E = {E(K) (n)}" ... -
A new model for speech compression
Ekşioğlu, Asena (Işık Üniversitesi, 2021-19-10)This thesis aims to propose a new low bit-rate speech compression method. In the proposed method, classical SYMPES (Systematic Procedure for Predefined Envelope and Signature Sequences) based predefined signature and ... -
A New speech coding algorithm using zero cross and phoneme based SYMPES
Şişman, Burak; Güz, Ümit; Gürkan, Hakan; Yarman, Bekir Sıddık Binboğa (IEEE, 2013-07-11)In this work, a new low bit rate hybrid speech coding approach which combines the benefits of the SYMPES (Systematic Procedure for Predefined Envelope and Signature Sequences) and zero cross and phoneme based segmentation ... -
A new speech modeling method: SYMPES
Güz, Ümit; Gürkan, Hakan; Yarman, Bekir Sıddık Binboğa (IEEE, 2006)In this paper, the new method of speech modeling which is called SYMPES is introduced and it is compared with the commercially available methods. It is shown that for the same compression ratio or better, SYMPES yields ... -
A novel biometric authentication approach using electrocardiogram signals
Gürkan, Hakan; Güz, Ümit; Yarman, Bekir Sıddık Binboğa (IEEE, 2013)In this work, we present a novel biometric authentication approach based on combination of AC/DCT features, MFCC features, and QRS beat information of the ECG signals. The proposed approach is tested on a subset of 30 ... -
A novel biometric identification system based on fingertip electrocardiogram and speech signals
Güven, Gökhan; Güz, Ümit; Gürkan, Hakan (Elsevier Inc., 2022-03)In this research work, we propose a one-dimensional Convolutional Neural Network (CNN) based biometric identification system that combines speech and ECG modalities. The aim is to find an effective identification strategy ... -
A novel computed tomography image compression method based on classified energy and pattern blocks
Gökbay, İnci Zaim; Gezer, Murat; Güz, Ümit; Gürkan, Hakan; Yarman, Bekir Sıddık Binboğa (IEEE, 2013)In this work, a new biomedical image compression method is proposed based on the classified energy and pattern blocks (CEPB). CEPB based compression method is specifically applied on the Computed Tomography (CT) images and ... -
A novel fast algorithm for speech and audio coding
Güz, Ümit; Gürkan, Hakan; Yarman, Bekir Sıddık Binboğa (IEEE, 2007)In this work a new mathematical modeling approach is proposed for the representation of the speech and audio signals. This approach is based on the generation of the so called Predefined Signature Sequence (PSS) and ... -
A novel human identification system based on electrocardiogram features
Gürkan, Hakan; Güz, Ümit; Yarman, Bekir Sıddık Binboğa (IEEE, 2013)In this work, we present a novel biometric authentication approach based on combination of AC/DCT features, MFCC features, and QRS beat information of the ECG signals. The proposed approach is tested on a subset of 30 ... -
A novel hybrid electrocardiogram signal compression algorithm with low bit-rate
Gürkan, Hakan; Güz, Ümit; Yarman, Bekir Sıddık Binboğa (Springer, 2010)In this paper, a novel hybrid Electrocardiogram (ECG) signal compression algorithm based on the generation process of the Variable-Length Classified Signature and Envelope Vector Sets (VL-CSEVS) is proposed. Assessment ... -
A novel image compression method based on classified energy and pattern blocks: initial results
Güz, Ümit; Gürkan, Hakan; Yarman, Bekir Sıddık Binboğa (Springer, 2010)In this work, a new method for the compression of the images based on the generation of the so called classified energy and pattern blocks is introduced and the initial results are presented. The initials results proved ... -
A novel image compression method based on classified energy and pattern building blocks
Güz, Ümit (Springer International Publishing AG, 2011)In this paper, a novel image compression method based on generation of the so-called classified energy and pattern blocks (CEPB) is introduced and evaluation results are presented. The CEPB is constructed using the training ...