RT Journal Article
T1 Data Augmentation for Speaker Identification under Stress Conditions to Combat Gender-Based Violence
A1 Rituerto González, Esther
A1 Minguez Sanchez, Alba
A1 Gallardo Antolín, Ascensión
A1 Peláez Moreno, Carmen
AB A Speaker Identification system for a personalized wearable device to combat gender-based violence is presented in this paper. Speaker recognition systems exhibit a decrease in performance when the user is under emotional or stress conditions, thus the objective of this paper is to measure the effects of stress in speech to ultimately try to mitigate their consequences on a speaker identification task, by using data augmentation techniques specifically tailored for this purpose given the lack of data resources for this condition. An extensive experimentation has been carried out for assessing the effectiveness of the proposed techniques. First, we conclude 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.
PB MDPI
SN 2076-3417
YR 2019
FD 2019-06-04
LK https://hdl.handle.net/10016/28552
UL https://hdl.handle.net/10016/28552
LA eng
NO This article belongs to the Special Issue IberSPEECH 2018: Speech and Language Technologies for Iberian Languages
NO This work is partially supported by the Spanish Government-MinECo project TEC2017-84395-P and Madrid Regional Project Y2018/TCS-5046.
DS e-Archivo
RD 1 jul. 2024