Speech and Language Technology in Education (SLaTE2007)

The Summit Inn, Farmington, PA, USA
October 1-3, 2007

Automatic Evaluation of Children's Performance on an English Syllable Blending Task

Shizhen Wang (1), Patti Price (2), Margaret Heritage (3), Abeer Alwan (1)

(1) Department of Electrical Engineering, University of California, Los Angeles
(2) PPRICE Speech and Language Technology Consulting
(3) National Center for Research on Evaluation, Standards, and Student Testing, UCLA, Los Angeles, CA, USA

In this paper, speech recognition techniques are applied to automatically evaluate children's performance in a syllable blending task. Word verification is performed to filter out utterances pronounced incorrectly. For valid words, forced alignment is applied to generate syllable segmentations and produce the corresponding HMM log likelihood scores. Normalized spectral likelihoods and duration ratio scores are combined to assess the overall quality of children's productions. Speaker-specific information is further incorporated to optimize performance. Experimental results show that the automatic system correlates well with those of teachers, but requires no

Full Paper

Bibliographic reference.  Wang, Shizhen / Price, Patti / Heritage, Margaret / Alwan, Abeer (2007): "Automatic evaluation of children's performance on an English syllable blending task", In SLaTE-2007, 120-123.