Use of model confusion learning for speaker identification a rule-based approach

Date

1999-06-23

Author

Altincay, H
Demirekler, Mübeccel

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

85
views

0
downloads

This paper presents a multiple classifier system for text-independent speaker identification (SI). For the speaker identification problem, several different classifiers can be developed, each having strengths and weaknesses compared to the others. When the strengths and weaknesses of the individual classifiers do not overlap, i.e. a speaker which is misclassified by one classifier is correctly classified by some others, robust classification systems can be developed with the use of multiple classifiers. The studies in multiple classifier systems mainly concentrate on reliable methods of extracting, contextual information (i.e. strengths and weaknesses) about the classifiers and the methods of combining these classifiers. In this paper, a method is proposed for the extraction of contextual information about the classifiers and a rule based approach is developed for the combination of the information from different classifiers.

Subject Keywords

Combination

URI

https://hdl.handle.net/11511/54492

Conference Name

IEEE-EURASIP Workshop on Nonlinear Signal and Image Prcessing (NSIP 99)

Collections

Graduate School of Natural and Applied Sciences, Conference / Seminar

Suggestions

OpenMETU
Core

Speaker identification by combining multiple classifiers using Dempster-Shafer theory of evidence Altincay, H; Demirekler, Mübeccel (2003-11-01) This paper presents a multiple classifier approach as an alternative solution to the closed-set text-independent speaker identification problem. The proposed algorithm which is based on Dempster-Shafer theory of evidence computes the first and Rth level ranking statistics. Rth level confusion matrices extracted from these ranking statistics are used to cluster the speakers into model sets where they share set specific properties. Some of these model sets are used to reflect the strengths and weaknesses of t...
Application of High Resolution Magnetic Resonance Imaging Methods for Spinal Cord Tissue Segmentation Durlu, Caglayan; Erdogan, Hasan Balkar; Kucukdeveci, Osman Fikret; Gençer, Nevzat Güneri (2016-01-01) This paper presents the primitive results of high resolution Magnetic Resonance (MR) Imaging experiments that are performed for spinal cord segmentation purposes. In the study, it is aimed to image the epidural space, the cerebrospinal fluid, the white matter and the gray matter tissues in the lower cervical and upper thoracic regions of the spine with a maximum voxel size of 1x1x1 mm(3). For this purpose, the MRI sequences providing T2 and T2* images and used for spinal cord segmentation in the literature ...
Characterizations of Partially Bent and Plateaued Functions over Finite Fields Mesnager, Sihem; Özbudak, Ferruh; SINAK, AHMET (2018-12-30) Partially bent and plateaued functions over finite fields have significant applications in cryptography, sequence theory, coding theory, design theory and combinatorics. They have been extensively studied due to their various desirable cryptographic properties. In this paper, we study on characterizations of partially bent and plateaued functions over finite fields, with the aim of clarifying their structure. We first redefine the notion of partially bent functions over any finite field Fq , with q a prim...
An additive cost approach to optimal Temporal Logic control Aydın Göl, Ebru (2014-07-21) This paper presents a provably-correct Model Predictive Control (MPC) scheme for a discrete-time linear system. The cost is a quadratic that penalizes the distance from desired state and control trajectories, which are only available over a finite horizon. Correctness is specified as a syntactically co-safe Linear Temporal Logic (scLTL) formula over a set of linear predicates in the states of the system. The proposed MPC controller solves a set of convex optimization problems guided by the specification. Th...
Analysis and Design of Multichannel Systems for Perceptual Sound Field Reconstruction De Sena, Enzo; Hacıhabiboğlu, Hüseyin; Cvetkovic, Zoran (2013-08-01) This paper presents a systematic framework for the analysis and design of circular multichannel surround sound systems. Objective analysis based on the concept of active intensity fields shows that for stable rendition of monochromatic plane waves it is beneficial to render each such wave by no more than two channels. Based on that finding, we propose a methodology for the design of circular microphone arrays, in the same configuration as the corresponding loudspeaker system, which aims to capture inter-cha...

Citation Formats

H. Altincay and M. Demirekler, “Use of model confusion learning for speaker identification a rule-based approach,” presented at the IEEE-EURASIP Workshop on Nonlinear Signal and Image Prcessing (NSIP 99), Antalya, TURKEY, 1999, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/54492.