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

arXiv: https://arxiv.org/abs/2001.00583 · HTML: https://mlsanity.com/paper/2001.00583/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 2 Jan 2020.

## Built on by (most cited first, 2 of 2)

- [Analysis and Detection of Pathological Voice using Glottal Source Features](https://mlsanity.com/paper/2309.14080/) (2023)
- [A speech corpus for chronic kidney disease](https://mlsanity.com/paper/2211.01705/) (2022)

## Abstract (arXiv)

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.