Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Analysis of Hypernasal Speech in Children with Cleft Lip and Palate
TSD '08 Proceedings of the 11th international conference on Text, Speech and Dialogue
| Hi-index | 0.00 |
Previously we have shown that ASR technology can be used to objectively evaluate pathologic speech. Here we report on progress for routine clinical use: 1) We introduce an easy-to-use recording and evaluation environment. 2) We confirm our previous results for a larger group of patients. 3) We show that telephone speech can be analyzed with the same methods with only a small loss of agreement with human experts. 4) We show that prosodic information leads to more robust results. 5) We show that text reference instead of transliteration can be used for evaluation. Using word accuracy of a speech recognizer and prosodic features as features for SVM regression, we achieve a correlation of .90 between the automatic analysis and human experts.