Multi-Source Simultaneous Speech Translation

Speaker:
Dominik Macháček (ÚFAL MFF UK)
Abstract:
We investigate the opportunity to use multiple parallel speech signals — the original and simultaneous interpreting — as sources for translation to achieve higher quality of the simultaneous speech translation. We create an evaluation set ESIC (Europarl Simultaneous Interpreting Corpus). We analyze the challenges of simultaneous interpreting when used as an additional parallel source. Then, we investigate the robustness of multi-sourcing to transcription errors and assess the reliability of machine translation metrics when evaluating simultaneous speech translation. Last but not least, we demonstrate Whisper-Streaming, our tool that enables real-time processing of large offline speech-to-text models.
Length:
00:59:36
Date:
04/03/2024
views: 252

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