Understanding speech in interactive narratives with crowd sourced data
Name
Roy_Understanding speech.pdf
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684.79 KB
Format
Adobe PDF
Checksum (MD5)
0eaeb1ddcf1dbcbc637704b62984461b
Author(s)
Orkin, Jeffrey David
Roy, Deb K.
Date Issued
October 2012
Journal
Proceedings of the Eighth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment
Publisher
Association for the Advancement of Artificial Intelligence (AAAI)
Citation
Orkin, Jeff and Deb K. Roy. "Understanding speech in interactive narratives with crowd sourced data." in Eighth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. October 8-12, 2012, Stanford University, Palo Alto, California. AAAI.
Version
Author's final manuscript
Abstract
Speech recognition failures and limited vocabulary coverage pose challenges for speech interactions with characters in games. We describe an end-to-end system for automating characters from a large corpus of recorded human game logs, and demonstrate that inferring utterance meaning through a combination of plan recognition and surface texts similarity compensates for recognition and understanding failures significantly better than relying on surface similarity alone.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
http://www.aaai.org/ocs/index.php/AIIDE/AIIDE12/paper/view/5457/5697
