Mansour Alghamdi

Also published under:M. Alghamdi, Mansour M. Alghamdi

Affiliation

Education and Training Evaluation Commission (ETEC), Riyadh, Saudi Arabia

Topic

Continuous Speech,Speech Recognition,Utterances,Automatic Speech Recognition System,Hidden Markov Model,Language Model,Mel-frequency Cepstral Coefficients,Neural Network,Phonetic Transcription,Speech Recognition Systems,Wav Files,Acoustic Cues,Acoustic Features,Acoustic Level,Acoustic Variables,American University Of Beirut,Arabic Phonemes,Arabic Speech,Audio Material,Automatic Identification System,Balanced Dataset,Binary Vector,Codebook,Confusion Matrix,Continuous Recognition,Correct Percentage,Current Frame,Data Clustering,Data Mining,Data Mining Applications,Deep Neural Network,Distinct Features,Feature Matrix,Feature Selection Methods,Feature Size,Feed-forward Network,Holy Quran,Imbalanced Datasets,Independent Classification,Input Features,Input Vector,Language Level,Learning Vector Quantization,Machine Learning,Machine Learning Applications,Machine Learning Datasets,Middle Position,Mixture Model,OR Operation,Order Of Improvement,

Biography

Mansour Alghamdi received the Ph.D. degree in speech analysis, synthesis, and perception from the University of Reading, in 1990. He took several positions, including the General Director of scientific awareness and publishing with KACST. He is currently a Consultant at the Education and Training Evaluation Commission. He has more than 80 published articles and books, and five patents. He is also a PI and a Team Member of more than 20 scientific research projects that produced software systems, algorithms, and databases. He has supervised and examined several Ph.D. students. He has lectured and reviewed articles and projects in his field. His published work has more than 1000 citations with 20 H-index on Google Scholars. He has been working in public sectors for 47 years.