Learning When to Commit from Partial Speech for End-to-End Simultaneous Speech Translation
Simultaneous speech translation must emit useful target text before the source is complete while preserving every committed token. We adapt a full-utterance speech language model using prefix supervision derived from its own complete- and partial-waveform translations, requiring neither transcripts nor human translatio...