Dialogs Re-enacted Across Languages
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Abstract (arXiv)
To support machine learning of cross-language prosodic mappings and other ways to improve speech-to-speech translation, we present a protocol for collecting closely matched pairs of utterances across languages, a description of the resulting data collection and its public release, and some observations and musings. This report is intended for: people using this corpus, people extending this corpus, and people designing similar collections of bilingual dialog data.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 10 of its 57 references that are in the map. First posted on arXiv 18 Nov 2022.
Builds on
10 of 57 references.
References · 10
- 2019Common Voice: A Massively-Multilingual Speech Corpuscited by 1,384
- 2020MLS: A Large-Scale Multilingual Dataset for Speech Researchcited by 476
- 2021VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretationcited by 463
- 2021Direct speech-to-speech translation with discrete unitscited by 149
- 2019Direct speech-to-speech translation with a sequence-to-sequence modelcited by 118
- 2021The Multilingual TEDx Corpus for Speech Recognition and Translationcited by 101
- 2022CVSS Corpus and Massively Multilingual Speech-to-Speech Translationcited by 71
- 2020UWSpeech: Speech to Speech Translation for Unwritten Languagescited by 43
- 2019MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the Biblecited by 24
- 2022Creating Speech-to-Speech Corpus from Dubbed Seriescited by 1
Built on by
Citing papers per year: 2023: 1; 2024: 0; 2025: 0; 2026: 1.
2 papers.