Forbes-Riley, K and Litman, D and Silliman, S and Tetrcault, J
(2006)
Comparing synthesized versus pre-recorded tutor speech in an intelligent tutoring spoken dialogue system.
In: UNSPECIFIED.
![[img]](http://d-scholarship.pitt.edu/style/images/fileicons/text_plain.png) |
Plain Text (licence)
Available under License : See the attached license file.
Download (1kB)
|
Abstract
We evaluate the impact of tutor voice quulity in the context of our intelligent tutoring spoken dialogue system. We first describe two versions of our system which yielded two corpora of human-computer tutoring dialogues: one using a tutor voiee pre-recorded by a human, and the other using a low-cost texr-to-speech tutor voice. We then discuss the results of two-tailed t-tests comparing student learning gains, system usability, and dialogue efficiency across the two corpora and across corpora subsets. Overall, our results suggest that tutor voice quality may have only a minor impact on these metrics in the context of our tutoring system. We find that tutor voice quality docs not impact learning gains, hut it may impact usability and efficiency for some corpora subsets. Copyright © 2006, American Association for Artificial Intelligence (www.aaai.org). All rights reserved.
Share
Citation/Export: |
|
Social Networking: |
|
Details
Metrics
Monthly Views for the past 3 years
Plum Analytics
Actions (login required)
 |
View Item |