ISSN: 1683-3198
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e-ISSN: 2309-4524
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DOI: 10.34028/iajit
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The International Arab Journal of Information Technology
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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
Recognition of Spoken Bengali Numerals Using
Avisek Gupta and Kamal Sarkar
#Speech recognition
# isolated digits
# principal component analysis
# support vector machines
# multi-layered perceptrons
# random forests
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
Tunisian Dialect Recognition Based on Hybrid
Laboratoire de Recherche ATSI, Ecole Nationale d‟Ingénieurs de Monastir, Tunisia
#Vector Quantization (VQLBG)
# Mel Frequency Cepstral Coefficients (MFCCs)
# Feed-Forward Back Propagation Neural Networks (FFBPNN)
# Speaker Dependent System
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 Connectionist Expert Approach for Speech Recognition
Halima Bahi,Mokhtar Sellami
#Artificial intelligence
#speech recognition
#hybrid system
#neuro-symbolic integration
#expert system
#neural networks
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