| Arabic speech recognition using hidden Markov model toolkit (HTK) BAQ Al-Qatab, RN Ainon 2010 international symposium on information technology 2, 557-562, 2010 | 86 | 2010 |
| Severity-based adaptation with limited data for ASR to aid dysarthric speakers MB Mustafa, SS Salim, N Mohamed, B Al-Qatab, CE Siong PloS one 9 (1), e86285, 2014 | 49 | 2014 |
| Classification of dysarthric speech according to the severity of impairment: an analysis of acoustic features BA Al-Qatab, MB Mustafa IEEE Access 9, 18183-18194, 2021 | 33 | 2021 |
| Impact of a newly developed modern standard Arabic speech corpus on implementing and evaluating automatic continuous speech recognition systems MAM Abushariah, RN Ainon, R Zainuddin, BA Al-Qatab, AAM Alqudah Spoken Dialogue Systems for Ambient Environments: Second International …, 2010 | 7 | 2010 |
| Severity based adaptation for ASR to Aid dysarthric speakers BA Al-Qatab, MB Mustafa, SS Salim 2014 8th Asia Modelling Symposium, 165-169, 2014 | 3 | 2014 |
| Determining the adaptation data saturation of ASR systems for dysarthric speakers BA Al-Qatab, MB Mustafa, SS Salim, AA Sani International Journal of Speech Technology 24, 183-192, 2021 | 1 | 2021 |
| Maximum Likelihood Linear Regression (MLLR) for ASR Severity Based Adaptation to Help Dysarthric Speakers BA Al-Qatab, MB Mustafa, SS Salim United Kingdom Simulation Society 15 (Number 6), 2015 | 1 | 2015 |
Eng-Siong ChngNanyang Technological UniversityVerified email at ntu.edu.sg
