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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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Claim

DeepCrime mutations for Speaker Recognition system

Research datakeyboard_double_arrow_right Dataset 04 May 2021Publisher:ZenodoFunded by:EC | PRECRIME
Authors: Nargiz Humbatova; Gunel Jahangirova; Paolo Tonella;

doi: 10.5281/zenodo.4737847 , 10.5281/zenodo.4737848

DeepCrime mutations for Speaker Recognition system

Abstract

This is the dataset of mutations generated for Speaker Recognition subject system by DeepCrime mutation testing tool as part of the "DeepCrime: Mutation Testing of Deep Learning Systems based on Real Faults" paper published at ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) 2021. The second part of this dataset is stored under the DOI 10.5281/zenodo.4737850.

Related Organizations
Keywords

mutation testing, fault injection, deep learning testing, speaker recognition

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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