VoxSumm: A Multilingual Corpus of Long-Form Spoken News for Joint Summarization and Translation
As information increasingly traverses linguistic boundaries, users require concise cross-lingual representations of long-form content. Nevertheless, long-document summarization research remains text-centric, whereas multilingual speech research has largely prioritized translation, preserving source content rather than compressing it. We address this methodological gap by formalizing joint speech summarization and translation (JSumT): the generation of a succinct, faithful target-language summary directly from a long spoken document in a source language. We additionally introduce VoxSumm, the first multilingual and cross-lingual benchmark for this task, comprising 10,045 BBC article-summar...
| Authors | Yejin Jeon, Marie Maltais, Virginia Ceccatelli et al. |
|---|---|
| Primary category | cs.SD |
| Published | 11 August 2026 |
| Last updated at source | 11 August 2026 |
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