BPTI: Bilingual Printed Text Images Dataset for Recognition Purposes

Mohammad Yahia,Husni Al-Muhtaseb

#Optical character recognition #text images dataset #HMM

# HAR # EICA # GDA # HMM

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Khalid Nahar1, Husni AlMuhtaseb1, Wasfi AlKhatib1, Moustafa Elshafei1, and Mansour Alghamdi2 1College of Computer Science and Engineering, King F ahd University of

# Phoneme transcription # data-driven # speech recogni tion # network lattices # arabic speech corpus

Hybrid SVM/HMM Model for the Arab Phonemes

Multimedia Information System and Advanced Computin g Laboratory, Sfax University, Tunisia

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Abed Ahcène1, 2 and Guerti Mhania1 1Laboratoire Signal et Communications, Ecole Nationa le Polytechnique, Algeria 2Scientific and Technical Research Center for the Development of the Arabic Language, Algeria

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Investigation Arabic Speech Recognition Using CMU Sphinx System

Abstract: In this paper, Arabic was investigated from the spe ech recognition problem point of view. We propose a novel

# Speech recognition # Arabic language # HMMs # CMUSphin x-4 # artificial intelligence

Features Modelling in Discrete and Continuous Hidden Markov Models for Handwritten Arabic

1 Laboratory of Science and Information Technologies and Communication, University of 8 Mai 1945 of

#Recognition of the handwritten arabic words # holistic approach # DHMMs # CHMMs # k-means # wk-means # algorithm of Viterbi # modified EM algorithm

Machine Learning based Intelligent Framework for Data Preprocessing

Abstract: Data preprocessing having a pivotal role in data mining ensures reduction in cost by catering inconsistent,

#Machine learning # hidden markov model # conditional random fields # preprocessing

Off-line Arabic Hand-Writing Recognition Using Artificial Neural Network with Genetics Algorithm

Abstract: Artificial Neural Networks (ANN) were used in the recognition of the printed Arabic text with a high rate

#ANN # GA # Feature vector # character recognition # arabic hand-written text # Hidden Markov Model (HMM)

Using Deep Learning for Automatically Determining Correct Application of Basic Quranic

Jordan University of Science and Technology, Jordan

#Articulation rules (Ahkam Al-Tajweed) # Mel-Frequency Cepstral Coefficient (MFCC) # Linear predictive Code (LPC) # Wavelet Packet Decomposition (WPD) # Hidden Markov Model based Spectral Peak Location (HMM-SPL) # Convolutional Deep Belief Network (CDBN); k-Nearest Neighbors (KNN); Support Vector Machines (SVM); Artificial Neural Network (NN) # Random Forest (RF) # multiclass classifier # bagging; t-Test

An Optimized Model for Visual Speech Recognition Using HMM

acoustic signals. It is useful in situations in which conventional audio processing is ineffective like very noisy environments or

#Visual speech recognition # feature extraction # discrete cosine transform # chain code # hidden markov model

Arabic Speaker Independent Continuous Automatic Speech Recognition Based on a

Mohammad Abushariah1,2, Raja Ainon1, Roziati Zainuddin1, Moustafa Elshafei3, and Othman Khalifa4

#Arabic automatic speech recognition # arabic speech corpus # phonetically rich and balanced # acoustic model # statistical language model

A new Framework for Elderly Fall Detection Using Coupled Hidden Markov Models

Mabrouka Hagui1, Mohamed Mahjoub1, and Faycel ElAyeb2 1National Engineering School of Sousse, University of Sousse, Laboratory of Advanced Technology and

#Fall detection; feature extraction; shape deformation # motion history of image # coupled hidden markov models

Recognition of Spoken Arabic Digits Using Neural Predictive Hidden Markov Models

Rafik Djemili,Mouldi Bedda,Hocine Bourouba

#Speech recognition #hidden Markov models #artificial neural networks #hybrid HMM/MLP