Speaker Recognition under Stress Conditions

Esther Rituerto-González, Ascensión Gallardo-Antolín, Carmen Peláez-Moreno
2018 IberSPEECH 2018  
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 speech
more » ... erances. An extensive experimentation has been carried out for assessing the effectiveness of the proposed techniques. First, we concluded that the best performance is always obtained when naturally stressed samples are included in the training set, and second, when these are not available, their substitution and augmentation with synthetically generated stress-like samples, improves the performance of the system.
doi:10.21437/iberspeech.2018-4 dblp:conf/iberspeech/Rituerto-Gonzalez18 fatcat:hmq3loztyfcevhcp2fkmpkioda