🔗 Who cites «Pre-training on high-resource speech recognition improves low-resource speech-to-text translation»

73 papers of our library cite it (of the 141,840 whose bibliographies we read) · 4 with a page here, the most cited first · ← back to «Pre-training on high-resource speech recognition improves low-resource speech-to-text translation»

1. Fairseq S2T: Fast Speech-to-Text Modeling with FairseqChanghan Wang, Yun Tang, Xutai Ma, et al.2020 · 259 citations
2. Speech Translation and the End-to-End Promise: Taking Stock of Where We AreMatthias Sperber, Matthias Paulik2020 · 150 citations
3. STEMM: Self-learning with Speech-text Manifold Mixup for Speech TranslationQingkai Fang, Rong Ye, Lei Li, et al.2022 · 133 citations
4. Cascade versus Direct Speech Translation: Do the Differences Still Make a Difference?Luisa Bentivogli, Mauro Cettolo, Marco Gaido, et al.2021 · 124 citations

69 more papers of our library cite it; they have no page here yet.

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