Papers for

speech translation developers

Papers whose findings have a practical use for this group, as judged from the abstract. Open a paper to read what it means in practice.

Multilingual speech translation dataset enables English to 28 languages

CVSS-X: A Multilingual Speech-to-Speech Translation Corpus for 28 Languages

Abstract: We introduce CVSS-X, a large-scale synthetic speech-to-speech translation corpus that extends CVSS by reversing the translation direction. While CVSS translates from 21 languages into English, CVSS-X enables translation from English into 28 target languages spanning 12 language families. The corpus comprises approximately 240,000 parallel speech pairs per language, totaling over 16,000 hours, eight times larger than CVSS. We provide two variants: CVSS-X-C with two canonical voices per language, and CVSS-X-T with cross-lingual voice cloning, both fully generated. Evaluation shows comparable translation quality to CVSS with consistent performance across typologically diverse languages. Combined with CVSS, this enables research on bidirectional and multilingual speech-to-speech translation. The code is available at https://github.com/ErmisAI/XVSS-X and the dataset under CC-BY-NC 4.0 license at https://huggingface.co/datasets/lgris/XVSS-X.

Fri 11 SeptComputation and LanguageSound
The gist
Translating spoken words between languages can be hard, especially for many different languages. The authors created a huge collection of synthetic speech recordings that translate English into 28 other languages. This dataset is much larger than previous ones and includes two versions with different voice styles. It helps improve and test speech-to-speech translation systems for many diverse languages.
Open → 2609.13413v1