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1
Intra- and Inter-database Study for Arabic, English, and German Databases: Do Conventional Speech Features Detect Voice Pathology?
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2
An Investigation of Multidimensional Voice Program Parameters in Three Different Databases for Voice Pathology Detection and Classification
BASE
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3
Development of the Arabic Voice Pathology Database and Its Evaluation by Using Speech Features and Machine Learning Algorithms
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4
Development of the Arabic Voice Pathology Database and Its Evaluation by Using Speech Features and Machine Learning Algorithms
BASE
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5
King Saud University Arabic Speech Database ...
Alsulaiman, Mansour; Muhammad, Ghulam; Abdelkader, Bencherif. - : Linguistic Data Consortium, 2014
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6
King Saud University Arabic Speech Database
Alsulaiman, Mansour; Muhammad, Ghulam; Abdelkader, Bencherif Mohamed. - : Linguistic Data Consortium, 2014. : https://www.ldc.upenn.edu, 2014
BASE
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7
King Saud University Arabic Speech Database ...
Alsulaiman, Mansour; Muhammad, Ghulam; Mahmood, Awais. - : Linguistic Data Consortium, 2014
BASE
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8
Multidirectional Regression (MDR)-Based Features for Automatic Voice Disorder Detection
In: Journal of voice. - Amsterdam [u.a.] : Elsevier 26 (2012) 6, 817.e19
OLC Linguistik
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