SHAMS: An Audio-Grounded Pronunciation Benchmark for Levantine Arabic
Levantine Arabic (LA) is spoken by tens of millions of people, creating a pressing need for shared benchmarks to evaluate LA speech-language technologies. Evaluating such technology is particularly challenging given LA's internal diversity and its opaque and non-standardized orthography. We present SHAMS (SHami Annotat...
Ben Sapirstein, Roy Mattar, Guy Mor-Lan et al.
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