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pro vyhledávání: '"Estaitia, Yazan"'
Autor:
Mahboub, Ali, Za'ter, Muhy Eddin, Al-Rfooh, Bashar, Estaitia, Yazan, Jaljuli, Adnan, Hakouz, Asma
The latest advancements in machine learning and deep learning have brought forth the concept of semantic similarity, which has proven immensely beneficial in multiple applications and has largely replaced keyword search. However, evaluating semantic
Externí odkaz:
http://arxiv.org/abs/2403.18350
Autor:
Obaidah, Qusai Abo, Za'ter, Muhy Eddin, Jaljuli, Adnan, Mahboub, Ali, Hakouz, Asma, Al-Rfooh, Bashar, Estaitia, Yazan
This work is an attempt to introduce a comprehensive benchmark for Arabic speech recognition, specifically tailored to address the challenges of telephone conversations in Arabic language. Arabic, characterized by its rich dialectal diversity and pho
Externí odkaz:
http://arxiv.org/abs/2403.04280