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CoVoST
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Free CoVoST is highly regarded for its comprehensive multilingual coverage and free availability, enhancing speech-to-text translation research.
A large-scale multilingual speech-to-text translation corpus.
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Refined 2/22/2026
About CoVoST
CoVoST (Conversational Voice-to-Speech Translation) is a large-scale, multilingual speech-to-text translation corpus developed by Facebook Research. It addresses the lack of parallel data for end-to-end speech translation (ST) model training. Built upon the Common Voice dataset, CoVoST includes translations from English into 15 languages and from 21 languages into English. The corpus comprises approximately 2,880 hours of speech data from 78,000 speakers. It is designed to foster ST research by providing a diversified, openly licensed dataset. CoVoST facilitates the training of end-to-end ST models, which offer system simplicity, lower inference latency, and reduced compounding errors compared to cascaded ST systems. Data splitting scripts and Fairseq S2T examples are provided to facilitate model training.
Core Capabilities
CoVoST (Conversational Voice-to-Speech Translation) is a large-scale, multilingual speech-to-text translation corpus developed by Facebook Research.
Main Tasks
End-to-end model training
Explore all tools that specialize in end-to-end model training. This domain focus ensures CoVoST delivers optimized results for this specific requirement.
