A critical assessment of spoken utterance retrieval through approximate lattice representations

Authors:
Siavash Kazemian;Frank Rudzicz;Gerald Penn;Cosmin Munteanu
Affiliations:
University of Toronto, Toronto, ON, Canada;University of Toronto, Toronto, ON, Canada;University of Toronto, Toronto, ON, Canada;University of Toronto, Toronto, ON, Canada
Venue:
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Year:
2008

Citing 6
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Abstract

This paper compares the performance of position-specific posterior lattices (PSPL) and confusion networks applied to spoken utterance retrieval, and tests these recent proposals against several baselines in two disparate domains. These lossy methods provide compact representations that generalize the original segment lattices and provide greater recall and robustness, but have yet to be evaluated against each other in multiple WER conditions for spoken utterance retrieval. Our comparisons suggest that while PSPL and confusion networks have comparable recall, the former is slightly more precise, although its merit appears to be coupled to the assumptions of low-frequency search queries and low-WER environments.