Feature analysis for discriminative confidence estimation in spoken term detection
نویسندگان
چکیده
منابع مشابه
Feature analysis for discriminative confidence estimation in spoken term detection
Discriminative confidence based on multi-layer perceptrons (MLPs) and multiple features has shown significant advantage compared to the widely used lattice-based confidence in spoken term detection (STD). Although the MLP-based framework can handle any features derived from a multitude of sources, choosing all possible features may lead to over complex models and hence less generality. In this ...
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We study spoken term detection—the task of determining whether and where a given word or phrase appears in a given segment of speech—in the setting of limited training data. This setting is becoming increasingly important as interest grows in porting spoken term detection to multiple lowresource languages and acoustic environments. We propose a discriminative algorithm that aims at maximizing t...
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State-of-the-art spoken term detection (STD) systems are built on top of large vocabulary speech recognition engines, which generate lattices that encode candidate occurrences of each invocabulary query. These lattices specifiy start and stop times of hypothesized term occurrences, providing a clear opportunity to return to the acoustics to incorporate novel confidence measures for verification...
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Discriminative confidence estimation along with confidence normalisation have been shown to construct robust decision maker modules in spoken term detection (STD) systems. Discriminative confidence estimation, making use of termdependent features, has been shown to improve the widely used lattice-based confidence estimation in STD. In this work, we augment the set of these term-dependent featur...
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In spoken term detection (STD) task, the confidence measure is used to assess the reliability of detected terms. The widely used confidence measure in STD is based on the normalized lattice posterior probability. In this paper, however, several distinct confidence estimation methods are investigated to improve the baseline lattice confidence: the acoustic and duration confidences are estimated ...
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ژورنال
عنوان ژورنال: Computer Speech & Language
سال: 2014
ISSN: 0885-2308
DOI: 10.1016/j.csl.2013.09.008