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Updated: Jun 21, 2025

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无监督的多感官融合时空空间扬声器日记化

Paris Xylogiannis1, Nikolaos Vryzas1, Lazaros Vrysis1

  • 1Multidisciplinary Media & Mediated Communication Research Group (M3C), Aristotle University, 54636 Thessaloniki, Greece.

Sensors (Basel, Switzerland)
|July 13, 2024
PubMed
概括

这项研究通过将扬声器嵌入式与空间到达时间差异 (TDOA) 数据集成来增强扬声器日记化. 将这些特征结合起来,可以显著提高在会议录音中识别"谁什么时候说话"的准确性.

关键词:
支持人工智能的系统.深度学习是一种深度学习.多式联络决策方式智能手机就是智能手机.声音本地化 声音本地化演讲者日记化 演讲者日记化

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