This paper addresses the problem of automatic detection of voice pathologies directly from the speech signal. For this, we investigate the use of the glottal source estimation as a means to detect voice disorders. Three sets of features are proposed, depending on whether they are related to the speech or the glottal signal, or to prosody. The relevancy of these features is assessed through mutual information-based measures. This allows an intuitive interpretation in terms of discrimation power and redundancy between the features, independently of any subsequent classifier. It is discussed which characteristics are interestingly informative or complementary for detecting voice pathologies.

中文翻译：

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关于语音病理检测的源和过滤器贡献之间的互信息

本文解决了直接从语音信号中自动检测语音病理的问题。为此，我们研究了使用声门源估计作为检测语音障碍的一种手段。提出了三组特征，具体取决于它们是与语音、声门信号还是韵律相关。这些特征的相关性是通过基于互信息的措施来评估的。这允许在特征之间的辨别力和冗余方面进行直观的解释，独立于任何后续分类器。讨论了哪些特征对检测语音病理具有有趣的信息或补充作用。