Modified condensed nearest neighbor rule as applied to speaker independent word recognition

Date

1988-12

Author

Mansur, A.
Yarman Vural, Fatoş Tunay
Yalabık, Neşe

Metadata

Show full item record

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

Item Usage Stats

138
views

0
downloads

Edited and Condensed Nearest Neighbor Rules are used in various applications in Pattern Recognition problems. In this study, modified versions of these algorithms are applied to speaker-independent isolated word recognition to select the word templates, as opposed to the clustering techniques. It is shown that the approach improves the recognition rate when compared with clustering, with the disadvantage of being more costly.

Subject Keywords

Software, Communication, Linguistics and language, Modelling and simulation, Computer vision and pattern recognition, Language and linguistics, Computer science applications

URI

https://hdl.handle.net/11511/51781

Journal

Speech Communication

DOI

https://doi.org/10.1016/0167-6393(88)90058-1

Collections

Department of Computer Engineering, Article

Suggestions

OpenMETU
Core

The use of articulator motion information in automatic speech segmentation Akdemir, Eren; Çiloğlu, Tolga (Elsevier BV, 2008-07-01) The use of articulator motion information in automatic speech segmentation is investigated. Automatic speech segmentation is an essential task in speech processing applications like speech synthesis where accuracy and consistency of segmentation are firmly connected to the quality of synthetic speech. The motions of upper and lower lips are incorporated into a hidden Markov model based segmentation process. The MOCHA-TIMIT database, which involves simultaneous articulatograph and microphone recordings, was ...
The syntax of relative clauses in Croatian Gracanın Yüksek, Martına (Walter de Gruyter GmbH, 2013-01-01) In this paper, I propose that Croatian relative clauses (RCs) introduced by the complementizer to 'what/that' do not form a homogeneous class with respect to their derivation: some are derived by movement, and some are derived by a non-movement strategy. Unless the relativized element is the subject, sto-RCs normally require a resumptive pronoun to appear in the site of relativization. However, this requirement is removed under morphological case matching between the head of the RC and the resumptive pronou...
Continuous dimensionality characterization of image structures Felsberg, Michael; Kalkan, Sinan; Kruger, Norbert (Elsevier BV, 2009-05-04) Intrinsic dimensionality is a concept introduced by statistics and later used in image processing to measure the dimensionality of a data set. In this paper, we introduce a continuous representation of the intrinsic dimension of an image patch in terms of its local spectrum or, equivalently, its gradient field. By making use of a cone structure and barycentric co-ordinates, we can associate three confidences to the three different ideal cases of intrinsic dimensions corresponding to homogeneous image patche...
Disparity disambiguation by fusion of signal- and symbolic-level information Ralli, Jarno; Diaz, Javier; Kalkan, Sinan; Krueger, Norbert; Ros, Eduardo (Springer Science and Business Media LLC, 2012-01-01) We describe a method for resolving ambiguities in low-level disparity calculations in a stereo-vision scheme by using a recurrent mechanism that we call signal-symbol loop. Due to the local nature of low-level processing it is not always possible to estimate the correct disparity values produced at this level. Symbolic abstraction of the signal produces robust, high confidence, multimodal image features which can be used to interpret the scene more accurately and therefore disambiguate low-level interpretat...
Improving the k-nearest neighbour rule: using geometrical neighbourhoods and manifold-based metrics ALTINCAY, HAKAN (Wiley, 2011-09-01) Sample weighting and variations in neighbourhood or data-dependent distance metric definitions are three principal directions considered for improving the k-NN classification technique. Recently, manifold-based distance metrics attracted considerable interest and computationally less demanding approximations have been developed. However, a careful comparison of these alternative approaches is missing. In this study, an extensive comparison is firstly performed for three alternative neighbourhood definitions...

Citation Formats

A. Mansur, F. T. Yarman Vural, and N. Yalabık, “Modified condensed nearest neighbor rule as applied to speaker independent word recognition,” Speech Communication, pp. 411–415, 1988, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/51781.