Mohamed Farahat

Development of the Arabic Voice Pathology Database and Its Evaluation by Using Speech Features and Machine Learning Algorithms

Tamer A. Mesallam, Mohamed Farahat, Khalid H. Malki et al. · Journal of Healthcare Engineering · 2017 · 248 citations · Full text

Speech Corpus, Machine Learning Algorithms, Voice Disorders +18

Voice Pathology Detection and Classification Using Auto-Correlation and Entropy Features in Different Frequency Regions

Ahmed Al-nasheri, Ghulam Muhammad, Mansour Alsulaiman et al. · IEEE Access · 2017 · 165 citations · Full text

Engineering, Biometrics, Voice Disorders +21

An Investigation of Multidimensional Voice Program Parameters in Three Different Databases for Voice Pathology Detection and Classification

Ahmed Al-nasheri, Ghulam Muhammad, Mansour Alsulaiman et al. · Journal of Voice · 2016 · 127 citations

Engineering, Health Sciences, Voice +12

Validation and cultural modification of Arabic voice handicap index

Khalid H. Malki, Tamer A. Mesallam, Mohamed Farahat et al. · European Archives of Oto-Rhino-Laryngology · 2010 · 100 citations

Speech Analysis, Voice, Arabic +7

Voice pathology detection using interlaced derivative pattern on glottal source excitation

Ghulam Muhammad, Mansour Alsulaiman, Zulfiqar Ali et al. · Biomedical Signal Processing and Control · 2016 · 98 citations · Full text

Interlaced Derivative Pattern, Radiology, Health Sciences +15