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The reliability measures are estimated from the score space of both the fingerprint and voice modality during the training/validating stage.
Let ρ F and ρ V denote the inter-/intra-class distance measures obtained from the fingerprint and voice modality, respectively.
The disadvantage of the method is that at the extreme noise conditions, the fusion module contributes zero weighing to the voice modality and there is no substantial reduction in the FAR and FRR.
The rest of this paper is structured as follows: First, in section 2, the modelling and pattern-matching approaches used with the fingerprint and voice modality are briefly discussed.
The reliability measures obtained from the two modalities are λ F and λ V. d F ′ and d V ′ denote the d-prime separability measures obtained from preprocessed scores of fingerprints and voice modality, respectively.
As voice identification was the focus here, voices were presented first (in order to minimize priming effects in the voice modality), followed by faces and names.
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We also presented a reliability-based optimal integration weight estimation scheme for the fingerprint and voice modalities in [22].
The inter-/intra-separability measures are estimated from the feature space of both the fingerprints and voice modalities.
where 'N' is the number of test samples considered from all the classes and 'm' stands for the reliability of either fingerprint (F) or voice (V) modality.
Rather than a purely amodal or fully multi-modal organization, the data suggest that verbal (name) and non-verbal (voice, face) modalities of person knowledge may be partially differentiated, whereas modalities of non-verbal person knowledge are more closely aligned (Warrington, 1979; Snowden et al., 2004).
Negation, modality, voice, and aspect are the functional projection in TP.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com