no code implementations • 29 Aug 2021 • Injy Hamed, Pavel Denisov, Chia-Yu Li, Mohamed Elmahdy, Slim Abdennadher, Ngoc Thang Vu
In this paper, we present our work on code-switched Egyptian Arabic-English automatic speech recognition (ASR).
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • 24 Sep 2019 • Injy Hamed, Moritz Zhu, Mohamed Elmahdy, Slim Abdennadher, Ngoc Thang Vu
Code-switching (CS) is a widespread phenomenon among bilingual and multilingual societies.
no code implementations • RANLP 2017 • Reem Salem, Mohamed Elmahdy, Slim Abdennadher, Injy Hamed
In this paper, we propose a computer-based game with a purpose (GWAP) for speech therapy of Egyptian speaking children suffering from Dyslalia.
no code implementations • RANLP 2017 • Ahmed Bastawisy, Mohamed Elmahdy
The outcome of the classier directs the system to use the appropriate mono-lingual models (standard, dialectal, or mixture).
no code implementations • LREC 2014 • Mohamed Elmahdy, Mark Hasegawa-Johnson, Eiman Mustafawi
In a second pass, a more restricted LM is generated for each audio segment, and unsupervised acoustic model adaptation is applied.
no code implementations • LREC 2014 • Mohamed Elmahdy, Mark Hasegawa-Johnson, Eiman Mustafawi
A major problem with dialectal Arabic speech recognition is due to the sparsity of speech resources.