Hassan SATORI
Sidi Mohamed Ben Abdellah University, Université Sidi Mohamed Ben Abdellah
About
Dr. Hassan SATORI is a full Professor, Department of Computer Science, Faculty of Sciences, Dhar El Mahraz, Sidi Mohammed Ben Abdellah University -Fez- Morocco. He is Ph.D in Speech recognition and Signal Processing in 2009. He received a MSc in Physics from the Mohamed Premier University, and a Ph.D in Nanotechnology and computer simulation, also from the same University, in 2001. From 2001-2002 he was a postdoctoral fellow in Physics, mathematical modeling and computer simulation at the Chemnitz University of Technology, Germany, and was then a postdoctoral fellow in computer simulation at Department of Interface Chemistry and Surface Engineering, Max-Planck-Institut, Düsseldorf, Germany, (2003-2005). Dr. Hassan SATORI has large academic teaching and research experience in the fields of the mathematical modeling, Speech and Signal processing machine learning. His research interests include areas like: Nanotechnology, Computer simulation, Speech, Signal processing, Speech analysis, speech recognition, natural language processing, artificial intelligence.
Employment
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Sidi Mohamed Ben Abdellah University Full Professor2010 - Present
Education
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Université Sidi Mohamed Ben Abdellah phD2009 - Present
Projects & Funding
Projects & funding information is unavailable.
Publications (127)
- Arich and balanced phonetics corpus for modern standard Arabic ASR systems Save
- Arabic speech command recognition using an enhanced CNN-LSTM model with attention and data augmentation Save
- N-Gram and RNN-LM Language Model Integration for End-to-End Amazigh Speech Recognition Save
- Automatic speech recognition for Moroccan dialect in noisy traffic environments Save
- Building a Contextualized Arabic Voice Command Corpus for Industrial Automation Systems Save
- Embedded speech recognition for Arabic language in industrial command Save
- Phoneme-based automatic speech recognition for real-time Arabic command drone control Save
- Robust Real-Time Arabic Speech Recognition for AAVs in Adverse Acoustic Conditions Using Lightweight CNNs Save
- The impact of MFCC, spectrogram, and Mel-Spectrogram on deep learning models for Amazigh speech recognition system Save
- A Comprehensive Review of intelligent Voice Disorder Diagnosis: Techniques, Databases, and Machine Learning Approaches Save