The application of polynomial discriminant function classifiers to isolated arabic speech recognition

Mohammed Khasawneh; Khaled Assaleh; Wesam Sweidan; Monther Haddad

The application of polynomial discriminant function classifiers to isolated arabic speech recognition

Mohammed Khasawneh
, Khaled Assaleh
, Wesam Sweidan
, Monther Haddad

Jordan University of Science and Technology
Zayed University
American University of Sharjah
Al-Balqa Applied University
Emirates Telecom. Corporation

Research output: Contribution to journal › Conference article › peer-review

4 Scopus citations

Abstract

In this paper, we apply polynomial discriminant function classifiers for isolated-word speaker-independent Arabic digit recognition. The performance of the polynomial classifier is evaluated for different implementations. We also provide a performance comparison between the polynomial classifier and Dynamic Time Warping (DTW). The polynomial classifier is found to outperform DTW in many aspects such as recognition rate, and computational and memory requirements.

Original language	English
Pages (from-to)	3077-3081
Number of pages	5
Journal	IEEE International Conference on Neural Networks - Conference Proceedings
Volume	4
State	Published - 2004
Externally published	Yes
Event	2004 IEEE International Joint Conference on Neural Networks - Proceedings - Budapest, Hungary Duration: 25 Jul 2004 → 29 Jul 2004

Keywords

Dynamic Time Warping
Polynomial Classifiers
Speech Recognition

Cite this

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title = "The application of polynomial discriminant function classifiers to isolated arabic speech recognition",

abstract = "In this paper, we apply polynomial discriminant function classifiers for isolated-word speaker-independent Arabic digit recognition. The performance of the polynomial classifier is evaluated for different implementations. We also provide a performance comparison between the polynomial classifier and Dynamic Time Warping (DTW). The polynomial classifier is found to outperform DTW in many aspects such as recognition rate, and computational and memory requirements.",

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journal = "IEEE International Conference on Neural Networks - Conference Proceedings",

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note = "2004 IEEE International Joint Conference on Neural Networks - Proceedings ; Conference date: 25-07-2004 Through 29-07-2004",

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T1 - The application of polynomial discriminant function classifiers to isolated arabic speech recognition

AU - Khasawneh, Mohammed

AU - Assaleh, Khaled

AU - Sweidan, Wesam

AU - Haddad, Monther

PY - 2004

Y1 - 2004

N2 - In this paper, we apply polynomial discriminant function classifiers for isolated-word speaker-independent Arabic digit recognition. The performance of the polynomial classifier is evaluated for different implementations. We also provide a performance comparison between the polynomial classifier and Dynamic Time Warping (DTW). The polynomial classifier is found to outperform DTW in many aspects such as recognition rate, and computational and memory requirements.

AB - In this paper, we apply polynomial discriminant function classifiers for isolated-word speaker-independent Arabic digit recognition. The performance of the polynomial classifier is evaluated for different implementations. We also provide a performance comparison between the polynomial classifier and Dynamic Time Warping (DTW). The polynomial classifier is found to outperform DTW in many aspects such as recognition rate, and computational and memory requirements.

KW - Dynamic Time Warping

KW - Polynomial Classifiers

KW - Speech Recognition

UR - https://www.scopus.com/pages/publications/10944225960

M3 - Conference article

AN - SCOPUS:10944225960

SN - 1098-7576

VL - 4

SP - 3077

EP - 3081

JO - IEEE International Conference on Neural Networks - Conference Proceedings

JF - IEEE International Conference on Neural Networks - Conference Proceedings

T2 - 2004 IEEE International Joint Conference on Neural Networks - Proceedings

Y2 - 25 July 2004 through 29 July 2004

ER -

The application of polynomial discriminant function classifiers to isolated arabic speech recognition

Abstract

Keywords

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