Abstract

This paper describes the design and realization of an automatic system for assessing and evaluating the language and literacy skills of young children. This system was developed in the context of the TBALL (technology based assessment of language and literacy) project and aims at automatically assessing the English literacy skills of both native talkers of American English and Mexican-American children in grades K-2. The automatic assessments were carried out employing appropriate speech recognition and understanding techniques. In this paper, we describe the system focusing on the role of the multiple sources of information at our disposal. We present the content of the assessment system, discuss some issues in creating a child-friendly interface, and how to provide a suitable feedback to the teachers. In addition, we will discuss the different assessment modules and the different algorithms used for …

Date

October 1, 2007

Authors

Abeer Alwan, Yijian Bai, Matt Black, Larry Casey, Matteo Gerosa, Margaret Heritage, Markus Iseli, Barbara Jones, Abe Kazemzadeh, Sungbok Lee, Shrikanth Narayanan, Patti Price, Joseph Tepperman, Shizhen Wang

Conference

2007 IEEE 9th Workshop on Multimedia Signal Processing

Pages

26-30

Publisher

IEEE