Score distribution based term specific thresholding for spoken term detection

Authors:
Doǧan Can;Murat Saraçlar
Affiliations:
Boǧaziçi University, İstanbul, Turkey;Boǧaziçi University, İstanbul, Turkey
Venue:
NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
Year:
2009

Citing 3
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Abstract

The spoken term detection (STD) task aims to return relevant segments from a spoken archive that contain the query terms. This paper focuses on the decision stage of an STD system. We propose a term specific thresholding (TST) method that uses per query posterior score distributions. The STD system described in this paper indexes word-level lattices produced by an LVCSR system using Weighted Finite State Transducers (WFSTs). The target application is a sign dictionary where precision is more important than recall. Experiments compare the performance of different thresholding techniques. The proposed approach increases the maximum precision attainable by the system.