10th Annual Conference of the International Speech Communication Association

Brighton, United Kingdom
September 6-10, 2009

On the Mutual Information Between Source and Filter Contributions for Voice Pathology Detection

Thomas Drugman, Thomas Dubuisson, Thierry Dutoit

Faculté Polytechnique de Mons, Belgium

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 discrimination 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.

Full Paper

Bibliographic reference.  Drugman, Thomas / Dubuisson, Thomas / Dutoit, Thierry (2009): "On the mutual information between source and filter contributions for voice pathology detection", In INTERSPEECH-2009, 1463-1466.