Detection of Pathological Voice Using Cepstrum Vectors: A Deep Learning Approach

摘要

Objectives. Computerized detection of voice disorders has attracted considerable academic and clinical interest in the hope of providing an effective screening method for voice diseases before endoscopic confirmation. This study proposes a deep-learning-based approach to detect pathological voice and examines its performance and utility compared with other automatic classification algorithms.