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XTREME-S is a benchmark for evaluating universal cross-lingual speech representations in many languages. XTREME-S consists of:
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π Paper
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π€ Datasets
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XTREME-S covers four task families: speech recognition, classification, speech-to-text translation and retrieval. Covering 102 languages from 10+ language families, 3 different domains and 4 task families, XTREME-S aims to simplify multilingual speech representation evaluation, as well as catalyze research in "universal" speech representation learning.<br />
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XTREME-S was proposed in the paper <i>XTREME-S: Evaluating Cross-lingual Speech Representations</i> by Conneua et. al. in 2022. For more information, see the official paper on <a href="https://arxiv.org/abs/2203.10752" class="underline">Arxiv</a>.
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