The International Arab Journal of Information Technology (IAJIT)

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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