aiqbench analysis
CVSS-X represents a significant advancement in multilingual speech-to-speech translation by providing a massive synthetic dataset that enables bidirectional research across 28 languages. This corpus supports the development of models capable of handling diverse linguistic families and includes cross-lingual voice cloning capabilities, addressing critical gaps in current translation resources. The release facilitates deeper investigation into the scalability and robustness of generative AI systems for audio processing tasks.
CVSS-X: A Multilingual Speech-to-Speech Translation Corpus for 28 Languages
arXiv:2609.13413v1 Announce Type: new 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.
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 this https URL and the dataset under CC-BY-NC 4.0 license at this https URL.
Computation and Language (cs.CL); Sound (cs.SD); Audio and Speech Processing (eess.AS)
arXiv:2609.13413 [cs.CL]
(or arXiv:2609.13413v1 [cs.CL] for this version)
https://doi.org/10.48550/arXiv.2609.13413 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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