VoxSumm: A Multilingual Corpus of Long-Form Spoken News for Joint Summarization and Translation
- URL: http://arxiv.org/abs/2608.10359v1
- Date: Tue, 11 Aug 2026 01:33:09 GMT
- Title: VoxSumm: A Multilingual Corpus of Long-Form Spoken News for Joint Summarization and Translation
- Abstract summary: Long-document summarization research remains text-centric, whereas multilingual speech research has largely prioritized translation.<n>We address this methodological gap by formalizing joint speech summarization and translation (JSumT)<n>We introduce VoxSumm, the first multilingual and cross-lingual benchmark for this task, comprising 10,045 BBC article-summary pairs across 24 languages.
- Score: 15.214203270614535
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: 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-summary pairs across 24 languages and encompassing approximately 703 hours of speech data. Our evaluation of representative speech-language models reveals pronounced variation across models and generation settings: Gemini3.1-Pro demonstrates the greatest consistency, summarization into English generally surpasses generation into non-English target languages, and translating an entire document before summarization compounds instruction-following failures. Through the release of VoxSumm, we establish a foundation for developing and evaluating multilingual systems capable of jointly interpreting, compressing, and translating long-form speech.
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