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Duration Models for Arabic Text Recognition Using Hidden Markov Models
2008
2008 International Conference on Computational Intelligence for Modelling Control & Automation
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We present in this paper a system for recognition of printed Arabic text based on Hidden Markov Models (HMM). ...
While HMMs have been successfully used in the past for such a task, we report here on significant improvements of the recognition performance with the introduction of minimum and maximum duration models ...
HMM with HTK We used the Hidden Markov model Toolkit (HTK) to realize our evaluation [16] . ...
doi:10.1109/cimca.2008.229
dblp:conf/cimca/SlimaneIAH08
fatcat:lyixv6gxqfe6ncozailb7bcak4
Printed PAW recognition based on planar hidden Markov models
1996
Proceedings of 13th International Conference on Pattern Recognition
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In this paper, we present an approach for connected Arabic printed text recognition using statistical models based on Planar Hidden Markov Models ( P H W ) , without prior segmentation. ...
The performance is enhanced by the use of robust features and an eflcient superstate duration distribution. ...
Introduction Hidden Markov Models 0 have been used in a wide variety of optical character recogmtion systems. ...
doi:10.1109/icpr.1996.546821
dblp:conf/icpr/AmaraB96
fatcat:faahgayqirap3dca2tmpbbpjne
Speech Recognition System of Arabic Alphabet Based on a Telephony Arabic Corpus
[chapter]
2010
Lecture Notes in Computer Science
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A hidden Markov model based speech recognition system was designed and tested with automatic Arabic alphabets recognition. ...
The Hidden Markov Model Toolkit (HTK) is used to implement the isolated word recognizer with phoneme based HMM models. ...
The Hidden Markov Model Toolkit (HTK) is used for designing and testing the speech recognition systems throughout all experiments. ...
doi:10.1007/978-3-642-13681-8_15
fatcat:jpb66aoko5dr3gqnv3geax6aku
Speaker Verification in Emotional Talking Environments based on Third-Order Circular Suprasegmental Hidden Markov Model
[article]
2019
arXiv
pre-print
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This work aims at accepting or rejecting the claimed speaker using his/her voice in emotional environments based on the Third-Order Circular Suprasegmental Hidden Markov Model (CSPHMM3) as a classifier ...
An Emirati-accented (Arabic) speech database with Mel-Frequency Cepstral Coefficients as the extracted features has been used to evaluate our work. ...
, and Analyzing Arabic Emirati-Accented Speech Database in Stressful and Emotional Talking Environments for Different Applications, No. 1602040349-P". ...
arXiv:1909.13244v2
fatcat:khyohxhwkrgzlnqm6v3np6dagy
The Optical Character Recognition for Cursive Script Using HMM: A Review
2014
Research Journal of Applied Sciences Engineering and Technology
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This paper present a comprehensive literature review of the Optical Character Recognition (OCR) for off-line and on-line character recognition for Urdu, Arabic and Persian languages, based on Hidden Markov ...
Model (HMM). ...
Hidden Markov Models (HMM) classifier proposed for off-line handwritten Arabic word Recognition without explicit segmentation on IFN/ENIT database (Margner et al., 2006) . ...
doi:10.19026/rjaset.8.1193
fatcat:7cpmia3vgrgttjahnkqqbvwaxy
Arabic Dialects System using Hidden Markov Models (HMMs)
2022
WSEAS Transactions on Computers
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on speech recognition using Hidden Markov Models (HMMs) algorithms. ...
We proposed an Arabic Dialect Identification System called "Building a System for Arabic Dialects Identification based on Speech Recognition using Hidden Markov Models (HMMs)" that takes Input as speech ...
The Speech Recognition of Moroccan Dialect Using Hidden Markov Models mentioned, in [B. ...
doi:10.37394/23205.2022.21.37
fatcat:jbhclgqeu5exxhnv653fe2vaoi
Page 1666 of Linguistics and Language Behavior Abstracts: LLBA Vol. 23, Issue 4
[page]
1989
Linguistics and Language Behavior Abstracts: LLBA
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; system architecture framework; 8908628
Modern Standard Chinese tone contours, connected speech; hidden Markov models use, training/recognition experiments; 8908577
multisensory alphabetic phonetic approach ...
; 8908654
hidden Markov model speech recognition system, noise adaptation; 8908639
Hindi bilabial plosives, glottal gestures; photoelectric glottographic technique; native Hindi-speaking male; 8908579 ...
Power, Delay and Area Comparisons of Majority Voters relevant to TMR Architectures
2021
DESIGN, CONSTRUCTION, MAINTENANCE
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Triple Modular Redundancy (TMR), which is a 3-tuple version of NMR, is widely preferred for mission-control space, military, and aerospace, and safety-critical nuclear, power, medical, and industrial control ...
N-modular redundancy (NMR) is commonly used to enhance the fault tolerance of a circuit/system, when subject to a fault-inducing environment such as in space or military systems, where upsets due to radiation ...
The Speech Recognition of Moroccan Dialect Using Hidden Markov Models mentioned, in [B. ...
doi:10.37394/232022.2021.1.8
fatcat:fhsjzl3jf5csfde2wpztrzwyj4
Strategies for Implementing an Optimal ASR System for Quranic Recitation Recognition
2017
International Journal of Computer Applications
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The system uses the statistical approach of Hidden Markov Models (HMMs) for modeling the Quranic sounds and the Cambridge HTK tools as a development environment. ...
strategies for modeling the Quranic sounds' durations in order to increase the ability in distinguishing them properly and thus enhancing their overall recognition accuracy. ...
The resulting model is known as the Hidden Semi-Markov Model (HSMM). ...
doi:10.5120/ijca2017915209
fatcat:l7wxxvrkkfdmbfa74keajg7wuu
Performance of hidden Markov model and dynamic Bayesian network classifiers on handwritten Arabic word recognition
2011
Knowledge-Based Systems
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This paper presents a comparative study of two machine learning techniques for recognizing handwritten Arabic words, where hidden Markov models (HMMs) and dynamic Bayesian networks (DBNs) were evaluated ...
The third stage is for classification and recognition, where machine learning is applied using HMMs and DBNs. ...
In addition, this system can be applied to other patterns for recognition with slightly adaptation. ...
doi:10.1016/j.knosys.2011.02.008
fatcat:7vsaehnaq5hvnclekd5sjnspde
Markov models for offline handwriting recognition: a survey
2009
International Journal on Document Analysis and Recognition
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It is therefore the goal of this survey to provide a comprehensive overview of the application of Markov models in the research field of offline handwriting recognition, covering both the widely used hidden ...
With the introduction of Markovian models to the field, a promising modeling and recognition paradigm was established for automatic offline handwriting recognition. ...
The basic technology of hidden Markov models-the most prominent variant of Markov models-was originally used for speech recognition applications. ...
doi:10.1007/s10032-009-0098-4
fatcat:el2rdqroj5dp3bfuvzs2bwx2bm
New Segmentation Method for Analytical Recognition of Arabic Handwriting Using a Neural-Markovian Method
2018
International Journal of Engineering and Technologies
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Keywords - Recognition of Arabic handwriting, hidden Markov models, fast K-means, Arabic literal amounts, multi-layer perceptron. * E-mail: khaoula_1190@hotmail.com ...
A new hybrid system of off-line analytical recognition of Arabic handwriting combining a neural network type multi-layer perceptron (MLP) and hidden Markov models (HMM) is presented. ...
The authors would also like to thank the members of laboratory, for their valuable suggestions and comments, which helped us to improve this paper. ...
doi:10.56431/p-nb4392
fatcat:4sbqatowsbcrlknztu3l3wmmsi
A Survey on Arabic Handwritten Character Recognition
2020
SN Computer Science
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There are much heavy studies on handwritten character recognition (HCR) for nearly previous four decades. The research on some of the common script like Arabic, Indian and Chinese has been done. ...
This manuscript presents a survey of character recognition on Arabic script, and most of the popular published paper methods are summarized and also analyzed different methods for building a robust system ...
Hidden Markov Models Hidden Markov Models use a sliding window of text line image to convert a two-dimensional image to a one-dimensional feature vector [43] . ...
doi:10.1007/s42979-020-00168-1
fatcat:5bsluyxvmbe6jjag34xjzlbgmq
Arabic Speech Recognition by End-to-End, Modular Systems and Human
[article]
2021
arXiv
pre-print
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Previous work focused on the English language and modular hidden Markov model-deep neural network (HMM-DNN) systems. ...
In this paper, we perform a comprehensive benchmarking for end-to-end transformer ASR, modular HMM-DNN ASR, and human speech recognition (HSR) on the Arabic language and its dialects. ...
Till today, the state-of-the-art ASR in the Arabic language comes from modular Hidden Markov Model Deep Neural Network (HMM-DNN) systems. ...
arXiv:2101.08454v2
fatcat:a3zub2w54ndnhljz3yhe5znpua
Handwritten Arabic Documents Indexation using HOG Feature
2015
International Journal of Computer Applications
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For this, we use in the first time text line segmentation of handwritten document image based on partial projection, where a sliding-window approach is used to locate the document regions that are most ...
In this paper, a holistic approach for spotting and searching query, especially, for images documents in handwritten Arabic is proposed. ...
[15] use Variable Duration Hidden Markov Models (VDHMM) where all Arabic words are modeled by one HMM. ...
doi:10.5120/ijca2015906182
fatcat:7ayzcgh5ajgevamgujq5bwkedm
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