基于ECAPA-TDNN的在线讨论活动级别评估活动级别评估
Hongbo Kang1, Botao He1, Ruoyang Song1
1School of Automation, Xi'an University of Posts and Telecommunications, Xi'an, China.
Scientific reports
|June 26, 2024
概括
本研究介绍了一种使用语音印记识别来评估参与者活动的在线讨论评估系统. 该系统准确地测量了演讲频率和时间,为虚拟会议的参与度提供客观反.
科学领域:
- 计算机科学 计算机科学
- 语音识别 语言识别
- 人与计算机的交互
背景情况:
- 在线讨论对工作和教育至关重要.
- 评估参与者在在线会议中的参与度是一项挑战.
- 现有的方法在评估活动水平方面缺乏客观性和细节性.
研究的目的:
- 设计一个自动化系统来评估在线讨论中的参与者活动.
- 为了利用语音印记识别来准确识别说话者.
- 根据口语指标开发一个可靠的模型来计算活动水平.
主要方法:
- 音频细分用于隔离单个语音段.
- 语音印记识别模型用于扬声器识别.
- 一个使用说话频率和持续时间进行活动评分的线性规范化模型.
- 模糊的会员身份功能可以确定目标活动水平.
主要成果:
- 该系统成功地对音频进行了细分,并识别了扬声器.
- 活动级计算模型提供了客观的得分.
- 实验结果显示高准确度,与手动记录相匹配.
- 该系统有效地区分了参与者的活动水平.
结论:
- 开发的系统准确地评估了参与者在在线讨论中的参与度.
- 语音印记识别和活动级建模提供了一个客观的评估方法.
- 这项技术可以提高在线会议的有效性和反机制.
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