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A New Benchmark for Evaluating Automatic Speech Recognition in the Arabic Call Domain
March 8, 2024, 5:47 a.m. | Qusai Abo Obaidah, Muhy Eddin Zater, Adnan Jaljuli, Ali Mahboub, Asma Hakouz, Bashar Alfrou, Yazan Estaitia
cs.CL updates on arXiv.org arxiv.org
Abstract: 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 phonetic complexity, presents a number of unique challenges for automatic speech recognition (ASR) systems. These challenges are further amplified in the domain of telephone calls, where audio quality, background noise, and conversational speech styles negatively affect recognition accuracy. Our work aims …
abstract arabic arxiv automatic speech recognition benchmark call challenges complexity conversations cs.ai cs.cl diversity domain language recognition speech speech recognition type work
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