Title :
On the use of HMMs to recognize cerebral palsy speech: isolated word case
Author :
Hsu, D. ; Deller, J.R., Jr.
Author_Institution :
Dept. of Electr. Comput. Eng., Northeastern Univ., Boston, MA, USA
Abstract :
A conventional HMM (hidden Markov model) method has been applied to the problem of isolated-word cerebral palsy speech recognition. A full-structure HMM was found to provide best results because of the conditions of high variability and small amounts of training data. To overcome the inadequacies of the conventional method, an enhanced clipping procedure has been developed which aids in the removal of variability in both the training and recognition phases of the HMM procedure. The performance of isolated-word recognition was significantly improved when this enhanced procedure was applied in a case study
Keywords :
Markov processes; speech recognition; HMMs; clipping procedure; hidden Markov model; isolated-word cerebral palsy speech recognition; Automatic speech recognition; Birth disorders; Computer aided software engineering; Hidden Markov models; Loudspeakers; Speech processing; Speech recognition; Steady-state; Testing; Training data;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location :
Glasgow
DOI :
10.1109/ICASSP.1989.266422
