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听见的对话如何被核查：TRILOGUE 把多轮声称钉回源文章与配对音频
针对播客式多轮对话中声称分散与 ASR 噪声的核查难题，TRILOGUE 以源文章可追溯的英俄哈三语对话与配对音频构建受控基准，显示仅看声称的验证最难、加入源证据后大幅回升，而哈萨克语的识别与合成瓶颈仍是主要代价。
语音对话系统
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Reference-Based Prosody and Rhythm Evaluation for Spoken Dialogue Systems
语音对话系统 | 4.7/10
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IHBench: Evaluating Post-Interruption Recovery in Voice Agents with Structured Workflows
语音对话系统 | 7.5/10
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MuVAP: Multimodal Multiparty Voice Activity Projection for Turn-taking Prediction in the Wild
语音对话系统 | 7.8/10
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Multi-Faceted Interactivity Alignment in Full-Duplex Speech Models
语音对话系统 | 9.3/10
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Proactive for Uncertainty: Cause-Aware Error Diagnosis and Interactive Clarification for Spoken Dialogue Systems
语音识别 | 9.6/10
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DuplexSLA: A Full-Duplex Spoken Language Model with Synchronized Speech, Language, and Action
语音对话系统 | 7.8/10
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Synchronization and Turn-Taking in Full-Duplex Speech Dialogue Models
语音对话系统 | 7.6/10
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Thinking-while-speaking: A Controlled, Interleaved Reasoning Method for Real-Time Speech Generation
语音对话系统 | 6.9/10
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From Text to Voice: A Reproducible and Verifiable Framework for Evaluating Tool Calling LLM Agents
模型评估 | 6.3/10
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EVA-Bench: A New End-to-end Framework for Evaluating Voice Agents
语音对话系统 | 8.0/10
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How Should LLMs Listen While Speaking? A Study of User-Stream Routing in Full-Duplex Spoken Dialogue
语音对话系统 | 6.0/10
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MIST: Multimodal Interactive Speech-based Tool-calling Conversational Assistants for Smart Homes
MIST: Multimodal Interactive Speech-based Tool-calling Conversational Assistants for Smart Homes
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MiniMind-O Technical Report: An Open Small-Scale Speech-Native Omni Model
语音对话系统 | 7.5/10
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MiniMind-O Technical Report: An Open Small-Scale Speech-Native Omni Model
语音对话系统 | 7.5/10
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Can Speech LLMs Think while Listening?
语音对话系统 | 7.5/10
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DrVoice: Parallel Speech-Text Voice Conversation Model via Dual-Resolution Speech Representations
语音对话系统 | 9.5/10
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EchoMind: An Interrelated Multi-level Benchmark for Evaluating Empathetic Speech Language Models
基准测试 | 7.0/10
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End-to-end Listen, Look, Speak and Act
语音对话系统 | 8.5/10
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From Text to Talk: Audio-Language Model Needs Non-Autoregressive Joint Training
语音对话系统 | 8.5/10