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Journal of Voice : Official Journal of the Voice Foundation
|
November 3, 2015
Automatic Voice Pathology Detection With Running Speech by Using Estimation of Auditory Spectrum and Cepstral Coefficients Based on the All-Pole Model
Zulfiqar Ali, Irraivan Elamvazuthi, Mansour Alsulaiman, et al.
Sensors (Basel, Switzerland)
|
April 3, 2021
Sensor-Based Human Activity Recognition with Spatio-Temporal Deep Learning
Ohoud Nafea, Wadood Abdul, Ghulam Muhammad, et al.
Journal of Medical Systems
|
November 5, 2015
Detection of Voice Pathology using Fractal Dimension in a Multiresolution Analysis of Normal and Disordered Speech Signals
Zulfiqar Ali, Irraivan Elamvazuthi, Mansour Alsulaiman, et al.
Journal of Voice : Official Journal of the Voice Foundation
|
March 20, 2016
Investigation of Voice Pathology Detection and Classification on Different Frequency Regions Using Correlation Functions
Ahmed Al-Nasheri, Ghulam Muhammad, Mansour Alsulaiman, et al.
Diagnostics (Basel, Switzerland)
|
April 23, 2022
A Multi-Branch Convolutional Neural Network with Squeeze-and-Excitation Attention Blocks for EEG-Based Motor Imagery Signals Classification
Ghadir Ali Altuwaijri, Ghulam Muhammad, Hamdi Altaheri, et al.
Data in Brief
|
November 1, 2019
Date fruit dataset for intelligent harvesting
Hamdi Altaheri, Mansour Alsulaiman, Ghulam Muhammad, et al.
Journal of Voice : Official Journal of the Voice Foundation
|
November 27, 2012
Multidirectional regression (MDR)-based features for automatic voice disorder detection
Ghulam Muhammad, Tamer A Mesallam, Khalid H Malki, et al.
Biomedical Engineering Online
|
June 1, 2011
Formant analysis in dysphonic patients and automatic Arabic digit speech recognition
Ghulam Muhammad, Tamer A Mesallam, Khalid H Malki, et al.
Journal of Healthcare Engineering
|
December 5, 2017
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 Voice : Official Journal of the Voice Foundation
|
October 18, 2016
Intra- and Inter-database Study for Arabic, English, and German Databases: Do Conventional Speech Features Detect Voice Pathology?
Zulfiqar Ali, Mansour Alsulaiman, Ghulam Muhammad, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 12) with videos related to
Sort By:
Page
of 2
Journal of Voice : Official Journal of the Voice Foundation
|
November 3, 2015
Automatic Voice Pathology Detection With Running Speech by Using Estimation of Auditory Spectrum and Cepstral Coefficients Based on the All-Pole Model
Zulfiqar Ali, Irraivan Elamvazuthi, Mansour Alsulaiman, et al.
Sensors (Basel, Switzerland)
|
April 3, 2021
Sensor-Based Human Activity Recognition with Spatio-Temporal Deep Learning
Ohoud Nafea, Wadood Abdul, Ghulam Muhammad, et al.
Journal of Medical Systems
|
November 5, 2015
Detection of Voice Pathology using Fractal Dimension in a Multiresolution Analysis of Normal and Disordered Speech Signals
Zulfiqar Ali, Irraivan Elamvazuthi, Mansour Alsulaiman, et al.
Journal of Voice : Official Journal of the Voice Foundation
|
March 20, 2016
Investigation of Voice Pathology Detection and Classification on Different Frequency Regions Using Correlation Functions
Ahmed Al-Nasheri, Ghulam Muhammad, Mansour Alsulaiman, et al.
Diagnostics (Basel, Switzerland)
|
April 23, 2022
A Multi-Branch Convolutional Neural Network with Squeeze-and-Excitation Attention Blocks for EEG-Based Motor Imagery Signals Classification
Ghadir Ali Altuwaijri, Ghulam Muhammad, Hamdi Altaheri, et al.
Data in Brief
|
November 1, 2019
Date fruit dataset for intelligent harvesting
Hamdi Altaheri, Mansour Alsulaiman, Ghulam Muhammad, et al.
Journal of Voice : Official Journal of the Voice Foundation
|
November 27, 2012
Multidirectional regression (MDR)-based features for automatic voice disorder detection
Ghulam Muhammad, Tamer A Mesallam, Khalid H Malki, et al.
Biomedical Engineering Online
|
June 1, 2011
Formant analysis in dysphonic patients and automatic Arabic digit speech recognition
Ghulam Muhammad, Tamer A Mesallam, Khalid H Malki, et al.
Journal of Healthcare Engineering
|
December 5, 2017
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 Voice : Official Journal of the Voice Foundation
|
October 18, 2016
Intra- and Inter-database Study for Arabic, English, and German Databases: Do Conventional Speech Features Detect Voice Pathology?
Zulfiqar Ali, Mansour Alsulaiman, Ghulam Muhammad, et al.
Page
of 2