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Toplam kayıt 12, listelenen: 1-10
On the comparative results of "SYMPES: A new method of speech modeling"
(Elsevier GMBH, 2006)
In this paper, the new method of speech modeling which is called SYMPES (A Novel Systematic Procedure to Model Speech Signals via Predefined "Envelope and Signature Sequences") is introduced and it is compared with the ...
A new method to represent speech signals via predefined signature and envelope sequences
(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)}" ...
Modeling of electrocardiogram signals using predefined signature and envelope vector sets
(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 ...
Generative and discriminative methods using morphological information for sentence segmentation of Turkish
(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 ...
EEG signal compression based on classified signature and envelope vector sets
(Wiley, 2009-03)
In this paper, a novel method to compress electroencephalogram (EEG) signal is proposed. The proposed method is based on the generation process of the classified signature and envelope vector sets (CSEVS), which employs ...
Multi-view semi-supervised learning for dialog act segmentation of speech
(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 ...
Cascaded model adaptation for dialog act segmentation and tagging
(Elsevier Ltd, 2010-04)
There are many speech and language processing problems which require cascaded classification tasks. While model adaptation has been shown to be useful in isolated speech and language processing tasks, it is not clear what ...
Compression of the biomedical images using quadtree-based partitioned universally classified energy and pattern blocks
(Springer London, 2019-03-15)
In this work, an efficient low bit rate image coding/compression method based on the quadtree-based partitioned universally classified energy and pattern building blocks (QB-UCEPB) is introduced. The proposed method combines ...
Biometric identification using fingertip electrocardiogram signals
(Springer London Ltd, 2018-07)
In this research work, we present a newly fingertip electrocardiogram (ECG) data acquisition device capable of recording the lead-1 ECG signal through the right- and left-hand thumb fingers. The proposed device is ...
A novel image compression method based on classified energy and pattern building blocks
(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 ...