Finally, we need to connect the encoder to a translation decoder. The FSQ output feeds directly into autoregressive sequence models. We’re testing whether JEPA representations can drive speech-to-speech translation while preserving the speaker characteristics that text-based pipelines discard. That’s where the encoder faces its real test: not classification benchmarks, but whether a translated voice still sounds like the original speaker.
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