自动写作:一个自动化工具,用于从录音对话中创建转录的TextGrids
Tyson S Barrett1, Camille J Wynn2, Lotte Eijk3
1Department of Speech and Hearing Sciences, Utah State University, Logan, UT, USA. Tyson.barrett@usu.edu.
Behavior research methods
|November 3, 2025
概括
研究人员开发了Autoscribe,这是一个用于转录对话的自动化工具. 这种工具显著减少了对话研究中语音细分和转录的时间.
科学领域:
- 语言学的语言学.
- 计算语言学 计算语言学
- 语音处理 语音处理
背景情况:
- 对话研究需要耗时的分段和音频录音的转录.
- 与独白相比,现有的自动语音识别工具在对话式语音上通常表现不佳.
研究的目的:
- 开发和验证一个易于使用的,自动化工具,用于转录二次对话.
- 创建一个工具,以准确的转折边界和转录输出Praat TextGrids.
主要方法:
- 开发了Autoscribe,这是一个将二元对话音频转换为Prat TextGrids的工具.
- 在两个不同的对话体上验证了Autoscribe.
- 评估转录准确度和发言边界位置.
主要成果:
- 自动写作减少了超过70%的TextGrid创建的活跃工作时间.
- 实现了92%的平均转录精度.
- 演示了95%的平均发言边界位置准确度.
结论:
- 自动写作显著减少了对对话细分和转录所需的时间和资源.
- 该工具为对话分析领域的研究人员提供了实用解决方案.
- 自动写入提高了处理对话音频数据的效率.
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