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Speaker Recognition systems exhibit a decrease in performance when the input speech is not in optimal circumstances, for example when the user is under emotional or stress conditions. The objective of this paper is measuring the effects of stress on speech to ultimately try to mitigate its consequences on a speaker recognition task. On this paper, we develop a stress-robust speaker identification system using data selection and augmentation by means of the manipulation of the original speechdoi:10.21437/iberspeech.2018-4 dblp:conf/iberspeech/Rituerto-Gonzalez18 fatcat:hmq3loztyfcevhcp2fkmpkioda