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SimulS2ST-Omni: Data-Efficient Streaming Speech-to-Speech Translation via Explicit Trajectory Supervision
语音翻译 | 7.3/10
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When to Use Extra Context: Evidence-Grounded Terminology Adaptation for Simultaneous Speech Translation
语音翻译 | 6.7/10
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X-Translator: A Real-Time Multilingual Speaker-Aware Speech-to-Speech Translation System
语音翻译 | 7.8/10
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Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach
语音翻译 | 5.7/10
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Gemma 4 Technical Report
语音识别 | 6.2/10
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NAVER LABS System Re-implementation for the IWSLT 2026 Instruction-Following Task
语音翻译 | 6.4/10
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Unified Audio Intelligence Without Regressing on Text Intelligence
音频交互 | 6.8/10
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ProactiveLLM: Learning Active Interaction for Streaming Large Language Models
语音识别 | 7.2/10
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Simultaneous Speech-to-Speech Translation Without Aligned Data
语音翻译 | 8/10
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NAVER LABS Europe Submission to the Instruction-following 2026 Short Track
语音翻译 | 6.2/10
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Preserving Speech-to-Text LLM Capabilities in Speech-to-Speech Generation
语音识别 | 7/10
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GigaSpeechBench: A Real-World Multilingual Speech-to-Text Benchmark
语音识别 | 8.7/10
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FBK's Long-form SpeechLLMs for IWSLT 2026 Instruction Following
语音识别 | 6.5/10
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Does Translation-Enhanced Speech Encoder Pre-training Affect Speech LLMs?
语音识别 | 7.1/10
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Evaluating Japanese Dialect Robustness Across Speech and Text-based Large Language Models
语音识别 | 5.8/10
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STEB: A Speech-to-Speech Translation Expressiveness Benchmark for Evaluating Beyond Translation Fidelity
语音翻译 | 7.8/10
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Measuring User's Mental Models of Speech Translation in Human-AI Collaboration
语音翻译 | 6.6/10
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ESPnet3: Infrastructure for Scalable Speech and Audio Research in the Foundation Model Era
语音识别 | 7.5/10
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Bridging the Usability Gap: Lessons from Interpreting Studies for Machine Interpreting Design
语音翻译 | 7.1/10
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Leveraging Audio-LLMs to Filter Speech-to-Speech Training Data
语音翻译 | 8.4/10