1 citations · 3 across the 8 of their papers we have counts for
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Arabic Code-Switching Speech Recognition using Monolingual Data
Ahmed Ali, Shammur Chowdhury, Amir Hussein +1
Code-switching in automatic speech recognition (ASR) is an important challenge due to globalization. Recent research in multilingual ASR shows potential improvement over monolingua…
QASR: QCRI Aljazeera Speech Resource -- A Large Scale Annotated Arabic Speech Corpus
Hamdy Mubarak, Amir Hussein, Shammur Absar Chowdhury +1
We introduce the largest transcribed Arabic speech corpus, QASR, collected from the broadcast domain. This multi-dialect speech dataset contains 2,000 hours of speech sampled at 16…
Balanced End-to-End Monolingual pre-training for Low-Resourced Indic Languages Code-Switching Speech Recognition
Amir Hussein, Shammur Chowdhury, Najim Dehak +1
The success in designing Code-Switching (CS) ASR often depends on the availability of the transcribed CS resources. Such dependency harms the development of ASR in low-resourced la…
Towards One Model to Rule All: Multilingual Strategy for Dialectal Code-Switching Arabic ASR
Shammur Absar Chowdhury, Amir Hussein, Ahmed Abdelali +1
With the advent of globalization, there is an increasing demand for multilingual automatic speech recognition (ASR), handling language and dialectal variation of spoken content. Re…
Arabic Speech Recognition by End-to-End, Modular Systems and Human
Amir Hussein, Shinji Watanabe, Ahmed Ali
Recent advances in automatic speech recognition (ASR) have achieved accuracy levels comparable to human transcribers, which led researchers to debate if the machine has reached hum…