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Simultaneous Speech-to-Text Translation

Simultaneous Speech-to-Text translation aims to translate concurrently with the source speech. It is crucial since it enables real-time interpretation of conversations, lectures and talks.

Papers

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Showing 1–12 of 12 papers

TitleStatusHype
StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task LearningCode5
LeaPformer: Enabling Linear Transformers for Autoregressive and Simultaneous Tasks via Learned ProportionsCode1
Efficient Monotonic Multihead Attention—0
ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit—0
How "Real" is Your Real-Time Simultaneous Speech-to-Text Translation System?—0
Improving Stability in Simultaneous Speech Translation: A Revision-Controllable Decoding Approach—0
Decision Attentive Regularization to Improve Simultaneous Speech Translation Systems—0
Learning Adaptive Segmentation Policy for End-to-End Simultaneous Translation—0
MLLP-VRAIN UPV systems for the IWSLT 2022 Simultaneous Speech Translation and Speech-to-Speech Translation tasks—0
NAIST Simultaneous Speech-to-Text Translation System for IWSLT 2022—0
SimulSpeech: End-to-End Simultaneous Speech to Text Translation—0
Direct Simultaneous Speech-to-Text Translation Assisted by Synchronized Streaming ASR—0
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