Detection and Classcation of Pathological Voice using Cepstrum Vectors: A Machine Learning Approach

碩士 === 元智大學 === 電機工程學系 === 105 === With the fast growing demand for personal healthcare services, detecting voice disorders has attracted interest as a way to provide an early warning of voice diseases. This paper proposes a deep-learning-based approach to detect pathological voice. By stacking seve...

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Bibliographic Details
Main Authors: Min-Jing Hsiao, 蕭旻荊
Other Authors: Shih-Hau Fang
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/63568209127954409230