Name
Title | ||
|---|---|---|
Combining regression and classification methods for improving automatic speaker age recognition. |
Abstract | ||
|---|---|---|
We present a novel approach to automatic speaker age classification, which combines regression and classification to achieve competitive classification accuracy on telephone speech. Support vector machine regression is used to generate finer age estimates, which are combined with the posterior probabilities of well-trained discriminative gender classifiers to predict both the age and gender of a speaker. We show that this combination performs better than direct 7-class classifiers. The regressors and classifiers are trained using long-term features such as pitch and formants, as well as short-term (frame-based) features derived from MAP adaptation of GMMs that were trained on MFCCs. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICASSP.2010.5495006 | ICASSP |
Keywords | Field | DocType |
machine intelligence,speech processing,artificial intelligence,speech,accuracy,support vector machines,gaussian processes,kernel,natural languages,pediatrics,telephony,posterior probability,regression analysis,feature extraction,speaker recognition,support vector machine,user interfaces,gaussian mixture model | Speech processing,Pattern recognition,Computer science,Regression analysis,Support vector machine,Speech recognition,Feature extraction,Posterior probability,Speaker recognition,Artificial intelligence,Discriminative model,Mixture model | Conference |
ISSN | ISBN | Citations |
1520-6149 E-ISBN : 978-1-4244-4296-6 | 978-1-4244-4296-6 | 13 |
PageRank | References | Authors |
0.91 | 3 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Charl Johannes van Heerden | 1 | 133 | 12.50 |
| Etienne Barnard | 2 | 438 | 57.85 |
| Marelie H. Davel | 3 | 236 | 22.70 |
| Christiaan van der Walt | 4 | 14 | 1.93 |
| Ewald van Dyk | 5 | 13 | 1.25 |
| Michael Feld | 6 | 57 | 7.63 |
| Christian A. Müller | 7 | 13 | 0.91 |