Praditor:基于DBSCAN的自动化,用于发言发作检测
Zhengyuan Liu1, Xinqi Yu2,3, Wing Chung Hu4
1Centre for Cognitive and Brain Sciences, University of Macau, Taipa, Macau SAR, China.
Behavior research methods
|August 4, 2025
概括
一个新的工具Praditor使用自动化算法准确检测语音发言时间 (SOT),从而减少了手动注释的费用. 这种半自动方法有助于跨语言的语音制作研究.
科学领域:
- 语言学的语言学.
- 语音科学 语言科学
- 计算语言学 计算语言学
背景情况:
- 语音发声时间 (SOT) 对于语音制作研究至关重要.
- 手动的SOT注释是准确的,但耗时和累人的.
- 现有的方法可能缺乏用户友好性或语言独立性.
研究的目的:
- 介绍Praditor,这是一个半自动工具用于语音发声检测.
- 为SOT注释提供一个用户友好和高效的解决方案.
- 促进语言独立的语音分析.
主要方法:
- 使用DBSCAN和第一衍生值算法开发了Praditor.
- 实现了一个图形用户界面 (GUI) 便于参数调整.
- 在普通话和英语数据集上进行测试,以评估准确性.
主要成果:
- 普拉迪托表现出高准确度,约90%的注释在手册注释的±20毫秒内.
- 文件级和集体级的调整都显示了可接受的准确性.
- 该工具有效地处理单启动和多启动的音频文件.
结论:
- Praditor提供了一个可靠和高效的半自动解决方案,用于语音发作注释.
- 该工具与语言无关,可供具有不同技术专业知识的用户使用.
- Praditor是公开可用的,促进了在语音研究中的更广泛使用.
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