背景语音对协作小组中中断检测的影响
计算与语言
2025-07-11 v1
摘要
中断在协作学习中起着关键作用，塑造着小组互动并影响知识建构。人工智能驱动的支持可以帮助教师监控这些互动。然而，大多数关于中断检测与解释的以往工作都在相对干净的音频环境中的单对话中进行。在用于协作学习的教室中部署的人工智能代理需要处理多个并行对话——在这种情况下，重叠语音将是普遍存在的，中断需要以其他方式来识别。本文分析了单对话和多小组对话环境中的中断检测。我们随后创建了一个对重叠语音鲁棒的中断识别的前沿方法，thus could be deployed in classrooms. Further, our work highlights meaningful linguistic and prosodic information about how interruptions manifest in collaborative group interactions. Our investigation also paves the way for future works to account for the influence of overlapping speech from multiple groups when tracking group dialog.
引用
@article{arxiv.2507.07280,
title = {The Impact of Background Speech on Interruption Detection in Collaborative Groups},
author = {Mariah Bradford and Nikhil Krishnaswamy and Nathaniel Blanchard},
journal= {arXiv preprint arXiv:2507.07280},
year = {2025}
}
备注
Long Paper AIED 2025