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In this paper we present a novel method to reject OOV words for speaker dependent dynamic command set recognition. The. OOV rejection problem is regarded as ...
May 14, 2020 · When considering the neural dynamics, researchers assume that confidence is based on the integration of evidence over time,,. Finally, ...
Apr 13, 2023 · Given its size and assay diversity, we hypothesized that this dataset which encoded aspects of a strain's identity could provide extra context ...
Missing: OOV | Show results with:OOV
Several techniques used to detect OOV: (i) Cmax: Confidence measure computed ONLY from strongly constrained Large Vocabulary Continuous Speech Recognizer ...
We define a confidence measure, the validity index, to validate the predictions of the Dy- ... Novelty measures returned by SVDD tool for each testing data point.
Missing: multiple OOV
This paper addresses the problem of rejecting Out-Of-Vocabulary words in speaker-independent Mandarin place name recognition by integrating neural network ...
This paper addresses the detection of OOV segments in the output of a large vocabulary continuous speech recognition (LVCSR) system. First, standard confidence ...
Neural-network based measures of confidence for word recognition. Proc. of ... Discriminative utterance verifica- tion using multiple confidence measures.
Nov 10, 2022 · We begin by reviewing the statistical model identification approach based on point process GLMs. Then we discuss several neural network ...
Missing: measures OOV detection.
The integration of nonlinear neural network methods with conventional linear regression techniques is demonstrated for representative.