These outliers treatment were applied to the dataset used in the recognition of vocal pathologies (dysphonia, chronic laryngitis and vocal cords paralysis vs ...

Classifying and recognizing voice pathologies non-invasively using acoustic analysis saves patient and specialist time and can improve the accuracy of ...

Outliers Treatment to Improve the Recognition of Voice Pathologies · Leticia Silva, Juliana Hermsdorf, +4 authors. João Paulo Teixeira · Published in CENTERIS/ ...

Article: Outliers Treatment to Improve the Recognition of Voice Pathologies.

Bibliographic details on Outliers Treatment to Improve the Recognition of Voice Pathologies.

May 31, 2024 · This study addresses the gap in systematic reviews concerning machine learning-based assistive technology for individuals with speech disorders.

Abstract—Voice disorder is a health issue that is frequently encountered, however, many patients either cannot afford to.

May 4, 2023 · This paper proposes a pretrained OpenL3-SVM transfer learning framework for the automatic recognition of multi-class voice disorders.

Feb 1, 2024 · Using acoustic analysis to classify and identify speech disorders non-invasively can reduce waiting times for patients and specialists while also increasing ...

Apr 12, 2021 · This study aimed to develop a VPD system that uses the fuzzy clustering synthetic minority oversampling technique algorithm (FC-SMOTE) to automatically detect ...