Title: Parameterization of Sequence of MFCCs for DNN-based voice disorder detection,
Abstract: In this article a DNN-based system for detection of three common voice
disorders (vocal nodules, polyps and cysts; laryngeal neoplasm; unilateral
vocal paralysis) is presented. The input to the algorithm is (at least 3-second
long) audio recording of sustained vowel sound /a:/. The algorithm was
developed as part of the "2018 FEMH Voice Data Challenge" organized by Far
Eastern Memorial Hospital and obtained score value (defined in the challenge
specification) of 77.44. This was the second best result before final
submission. Final challenge results are not yet known during writing of this
document. The document also reports changes that were made for the final
submission which improved the score value in cross-validation by 0.6% points.