论文标题
关于语音病理检测的源和过滤器贡献之间的共同信息
On the Mutual Information between Source and Filter Contributions for Voice Pathology Detection
论文作者
论文摘要
本文直接从语音信号中解决了语音病理的自动检测问题。为此，我们调查了Glottal源估计作为检测语音障碍的手段的使用。提出了三组功能，具体取决于它们是否与语音或发光信号相关，还是韵律。这些特征的相关性通过基于信息的措施进行评估。这允许从歧视能力和功能之间的冗余方面进行直观的解释，而与随后的分类器无关。讨论了哪些特征在检测语音病理学方面有趣或补充。
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.
