Arabic Speech Recognition
3 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Arabic Speech Recognition
modified_shemo
Most implemented papers
Speech Recognition Challenge in the Wild: Arabic MGB-3
Two hours of audio per dialect were released for development and a further two hours were used for evaluation.
Arabic Speech Recognition by End-to-End, Modular Systems and Human
espnet/espnet
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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 human performance.
Dialectal Coverage And Generalization in Arabic Speech Recognition
mbzuai-nlp/artst
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Developing robust automatic speech recognition (ASR) systems for Arabic, a language characterized by its rich dialectal diversity and often considered a low-resource language in speech technology, demands effective strategies to manage its complexity.
