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As shown in [1, 2], score normalization is of crucial importance for improving the Average Term-Weighted Value (ATWV) measure that is commonly used for evaluating keyword spotting systems. In this paper, we compare three different methods for score normalization within a keyword spotting system that employs phonetic
The support for typically out-of-vocabulary query terms such as names, acronyms, and foreign words is an important requirement of many speech indexing applications. However, to date many unrestricted vocabulary indexing systems have struggled to provide a balance between good detection rate and fast query speeds. This paper presents a fast and accurate unrestricted vocabulary speech indexing technique...
with toneless-syllable lattices converted from word lattices. Further improvement is achieved by lattice post-processing and system combination. Our best system has an accuracy of 80.2% on a keyword spotting task.
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