A tutorial on support vector regression
Statistics and Computing
Prosody dependent speech recognition on radio news corpus of American English
IEEE Transactions on Audio, Speech, and Language Processing
Automatic detection and evaluation of edentulous speakers with insufficient dentures
TSD'10 Proceedings of the 13th international conference on Text, speech and dialogue
| Hi-index | 0.00 |
For dento-oral rehabilitation of edentulous (toothless) patients, speech intelligibility is an important criterion. 28 persons read a standardized text once with and once without wearing complete dentures. Six experienced raters evaluated the intelligibility subjectively on a 5-point scale and the voice on the 4-point Roughness-Breathiness-Hoarseness (RBH) scales. Objective evaluation was performed by Support Vector Regression (SVR) on the word accuracy (WA) and word recognition rate (WR) of a speech recognition system, and a set of 95 word based prosodic features. The word accuracy combined with selected prosodic features showed a correlation of up to r = 0.65 to the subjective ratings for patients with dentures and r = 0.72 for patients without dentures. For the RBH scales, however, the average correlation of the feature subsets to the subjective ratings for both types of recordings was r