Title :
Hmm-Based and Svm-Based Recognition of the Speech of Talkers With Spastic Dysarthria
Author :
Hasegawa-Johnson, Mark ; Gunderson, Jon ; Penman, A. ; Huang, Thomas
Abstract :
This paper studies the speech of three talkers with spastic dysarthria caused by cerebral palsy. All three subjects share the symptom of low intelligibility, but causes differ. First, all subjects tend to reduce or delete word-initial consonants; one subject deletes all consonants. Second, one subject exhibits a painstaking stutter. Two algorithms were used to develop automatic isolated digit recognition systems for these subjects. HMM-based recognition was successful for two subjects, but failed for the subject who deletes all consonants. Conversely, digit recognition experiments assuming a fixed word length (using SVMs) were successful for two subjects, but failed for the subject with the stutter
Keywords :
hidden Markov models; speech recognition; support vector machines; HMM; SVM-based recognition; automatic isolated digit recognition systems; painstaking stutter; spastic dysarthria; speech recognition; Automatic control; Automatic speech recognition; Birth disorders; Brain injuries; Hidden Markov models; Microphone arrays; Muscles; Natural languages; Speech analysis; Speech recognition;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1660840