Tuning of modulation spectrum parameters for voice pathology detection
| Data(s) |
2015
|
|---|---|
| Resumo |
Acoustic parameters are frequently used to assess the presence of pathologies in human voice. Many of them have demonstrated to be useful but in some cases its results could be optimized by selecting appropriate working margins. In this study two indices, CIL and RALA, obtained from Modulation Spectra are described and tuned using different frame lengths and frequency ranges to maximize AUC in normal to pathological voice detection. After the tuning process, AUC reaches 0.96 and 0.95 values for CIL and RALA respectively representing an improvement of 16 % and 12 % at each case respect to the typical tuning based only on frame length selection. |
| Formato |
application/pdf |
| Identificador | |
| Idioma(s) |
eng |
| Publicador |
E.T.S.I. Telecomunicación (UPM) |
| Relação |
http://oa.upm.es/37845/1/INVE_MEM_2015_202043.pdf TEC2012-38630-C04-01 |
| Direitos |
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess |
| Fonte |
9th International Workshop Models and Analysis of Voice Emissions for Biomedical Applications (MAVEBA 2015) | 9th International Workshop Models and Analysis of Voice Emissions for Biomedical Applications (MAVEBA 2015) | 02/09/2015 - 04/09/2015 | Firenze, Italy |
| Palavras-Chave | #Informática #Telecomunicaciones |
| Tipo |
info:eu-repo/semantics/conferenceObject Ponencia en Congreso o Jornada PeerReviewed |
