  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.
