Abstract—

The article considers the problem of automatic segmentation of a speech signal into phonetic units in conditions of their a priori uncertain spectral composition and correlation properties. A guaranteed significance level criterion is developed based on the information–theoretic approach. An example of practical application of this criterion is considered; a full-scale experiment is set up and conducted. It is shown that the proposed criterion can guarantee a stable significance level when processing speech frames of short duration.

中文翻译：

---

自动语音信号分割中的保证重要性水平标准

摘要—

本文考虑了在先验不确定的频谱组成和相关特性的情况下将语音信号自动分割为语音单元的问题。基于信息理论方法，开发了保证重要性水平标准。考虑该标准的实际应用示例；建立并进行了全面的实验。结果表明，所提出的准则在处理短时语音帧时可以保证稳定的显着性水平。