Accuracy Optimization in Speech Pathology Diagnosis with Data Preprocessing Techniques
Using acoustic analysis to classify and identify speech disorders non-invasively can reduce waiting times for patients and specialists while also increasing the accuracy of diagnoses. In order to identify models to use in a vocal disease diagnosis system, we want to know which models have higher suc...
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Published in | Optimization, Learning Algorithms and Applications pp. 287 - 299 |
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Main Authors | , , |
Format | Book Chapter |
Language | English |
Published |
Cham
Springer Nature Switzerland
2024
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Series | Communications in Computer and Information Science |
Subjects | |
Online Access | Get full text |
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