English(EN) LibriSpeech-Real-QA: A Benchmark for Streaming Question Answering

新基准测试评估大型语言模型实时语音交互能力

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-05 05:00

研究人员推出了 LibriSpeech-Real-QA，这是一个旨在评估语音大型语言模型（SLM）在实时流式场景下表现的新基准测试。目前的 SLM 通常离线处理音频，等待完整片段后再响应，这不适用于需要持续交互的应用。该数据集构建自 LibriSpeech，旨在评估 SLM 在流式音频块中识别目标词的能力。对商业模型的初步评估表明，它们倾向于在语音轮次结束后才做出响应，这凸显了该领域进一步研究和开发的必要性。 AI

影响该基准测试有望推动更具响应性和交互性的语音人工智能系统在实际应用中的发展。

排序理由该条目描述了一个用于评估语音大型语言模型的新学术基准测试和数据集。[lever_c_demoted from research: ic=1 ai=1.0]

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报道来源 [1]

arXiv cs.CL TIER_1 English(EN) · Zewen Zhan, Hui Lu, Xueyuan Chen, Huimeng Wang, Yikai Huang, Xixin Wu, Shiyin Kang, Bin Xia, Zhiyong Wu · 2026-11-05 05:00

LibriSpeech-Real-QA：流式问答基准测试

arXiv:2611.06496v1 Announce Type: new Abstract: Most speech large language models (SLMs) still process speech in an offline manner. They only start responding after they receive the complete speech segment. However, many real-world applications require streaming speech interactio…

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LibriSpeech-Real-QA：流式问答基准测试

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