Recognition rate prediction for dysarthric speech disorder via speech consistency score

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4099 LNAI, Issue , 2006, Pages 885-889

  Kayasith, Prakasith ^a,b   Theeramunkong, Thanaruk ^b   Thubthong, Nuttakorn ^c  

^a NATIONAL ELECTRONICS AND COMPUTER TECHNOLOGY CENTER   (Thailand)

^b THAMMASAT UNIVERSITY   (Thailand)

^c CHULALONGKORN UNIVERSITY   (Thailand)

Author keywords

[No Author keywords available]

Indexed keywords

ERROR ANALYSIS; LEAST SQUARES APPROXIMATIONS; NEURAL NETWORKS; SPEECH ANALYSIS;

DYSARTHRIA; SPEECH ASSESSMENT; SPEECH CONSISTENCY SCORE (SCS);

SPEECH RECOGNITION;

EID: 33749578661     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11801603_100     Document Type: Conference Paper

References (5)

1. Deller, J., Hsu, D., Ferrier, L.: On the use of hidden Markov Modeling for Recognition of Dysarthric Speech. Computer Methods and Programs in Biomedicine 35 (1991) 125-139
2. Kotler, A., and Thomas-Stonel, N.: Effects of speech training on the accuracy of speech recognition for an individual with speech impairment. Journal of Augmentative and Alternative Communication 12 (1997) 71-80
3. Rosen, K., and Yampolsky, S.: Automatic Speech Recognition and a Review of Its Functioning with Dysarthric Speech. Journal of Augmentative and Alternative Communication 16 (2000) 46-60
4. rd ed.). Prentice Hall, Boston (1993)
5. Bodt, M. S. D., Huici, M. E. H., Heyning, P. H. V. D.: Intelligibility as a Linear Combination of Dimensions in Dysarthric Speech. Journal of Communication Disorders 35 (2002) 283-292.