|
Descripción
|
|
|---|---|
| The purpose of this paper is to present some preliminary results of an automatic system capable of modelling the perceptual abilities of a speech therapist that describes vocal quality in accordance to the GRB scale. The system is trained using three databases that have been evaluated by the same evaluator. 11 spectral, cepstral, modulation spectra and perturbation features are extracted from the input speech. Filter ranking algorithms are utilized to select the most consistent set of features among databases. Decision making is carried out using ordinal classification, to account for the ordering in the GRB scale, and Gaussian regression, to provide continuous decisions about voice quality. Results indicate that the proposed system is proficient when modelling, either by means of the Gaussian regressor and the ordinal classifier, the perceptual abilities of the evaluator. On average the deviations from the actual and predicted label are about half an unit. | |
|
Internacional
|
Si |
|
Nombre congreso
|
10th International Workshop Models and Analysis of Vocal Emissions for Biomedical Applications |
|
Tipo de participación
|
960 |
|
Lugar del congreso
|
Florencia |
|
Revisores
|
Si |
|
ISBN o ISSN
|
978-88-6453-607-1 |
|
DOI
|
|
|
Fecha inicio congreso
|
13/12/2017 |
|
Fecha fin congreso
|
15/12/2017 |
|
Desde la página
|
3 |
|
Hasta la página
|
6 |
|
Título de las actas
|
Models and Analysis of Vocal Emissions for Biomedical Applications: 10th Internation Workshop |