Understanding speech in interactive narratives with crow dsourced data

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Abstract

Speech recognition failures and limited vocabulary coverage pose challenges for speech interaction 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 text similarity compensates for recognition and understanding failures significantly better than relying on surface similarity alone. Copyright © 2012, Association for the Advancement of Artificial Intelligence.

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APA

Orkin, J., & Roy, D. (2012). Understanding speech in interactive narratives with crow dsourced data. In Proceedings of the 8th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2012 (pp. 57–62). https://doi.org/10.1609/aiide.v8i1.12507

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