Details

Autor(en) / Beteiligte

• Grzywalski, Tomasz
• Maciaszek, Adam
• Biniakowski, Adam
• Orwat, Jan
• Drgas, Szymon
• Piecuch, Mateusz
• Belluzzo, Riccardo
• Joachimiak, Krzysztof
• Niemiec, Dawid
• Ptaszynski, Jakub
• Szarzynski, Krzysztof

Titel

Parameterization of Sequence of MFCCs for DNN-based voice disorder detection

Ist Teil von

• 2018 IEEE International Conference on Big Data (Big Data), 2018, p.5247-5251

Ort / Verlag

IEEE

Erscheinungsjahr

2018

Link zum Volltext

• IEEE_Xplore

Quelle

IEEE Xplore

Beschreibungen/Notizen

• 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.