Models and analysis of vocal emissions for biomedical applications : : 5th International Workshop: December 13-15, 2007, Firenze, Italy / / edited by Claudia Manfredi.
The effectiveness of ten different feature sets in classification of voice recordings of the sustained phonation of the vowel sound /a/ into a healthy and pathological classes is investigated as well as a non approach to building a sequential committee of support vector machines (SVM) for the classi...
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| Superior document: | Atti ; 33 |
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| TeilnehmendeR: | |
| Place / Publishing House: | Firenze : : Firenze University Press,, 2007 |
| Year of Publication: | 2007 |
| Language: | English Italian |
| Series: | Atti ;
33. |
| Physical Description: | 1 online resource (252 pages) :; illustrations; digital, PDF file(s). |
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| Summary: | The effectiveness of ten different feature sets in classification of voice recordings of the sustained phonation of the vowel sound /a/ into a healthy and pathological classes is investigated as well as a non approach to building a sequential committee of support vector machines (SVM) for the classifications is proposed. The optimal values of hyperparameters of the committee and the feature sets providing the best performance are found during the genetic search. In the experimental investigations performed using 444 voice recordings of the sustained phonation of the vowel sound /a/ coming from 148 subjects, three recordings from each subject, the correct classification rate of over 92 % was obtained. The classification accuracy has been compared with the accuracy obtained from four human experts. |
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| Bibliography: | Includes bibliographical references and index. |
| Access: | Open Access |
| Hierarchical level: | Monograph |
| Statement of Responsibility: | edited by Claudia Manfredi. |