Esther Rituerto-González

Esther Rituerto-González
University Carlos III de Madrid | UC3M · Department of Signal Theory and Communications

Master of Engineering

About

10
Publications
1,250
Reads
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25
Citations
Introduction
She is pursuing a Ph.D. in Speaker Recognition under emotional conditions. Her current research interests include speech technologies, affective and cognitive computing and deep learning.
Additional affiliations
February 2020 - present
University Carlos III de Madrid
Position
  • PhD Student
Description
  • - Multimedia Processing Group - Pursuing the doctoral thesis "Multimodal affective computing in wearable devices with applications in the detection of gender-based violence"
April 2019 - January 2020
University Carlos III de Madrid
Position
  • Technician
Description
  • EMPATIA-CM Project from UC3M4Safety Group, a wearable solution for detecting, preventing and combating violence against Women through speech and audio analysis and machine learning algorithms
November 2017 - December 2018
University Carlos III de Madrid
Position
  • Master's Student
Description
  • - Master in Multimedia and Communications - Multimedia Processing Group
Education
November 2019 - May 2022
University Carlos III de Madrid
Field of study
  • Speech Technologies
October 2017 - June 2018
University Carlos III de Madrid
Field of study
  • Multimedia
September 2013 - October 2017
University Carlos III de Madrid
Field of study
  • Telecommunications

Publications

Publications (10)
Preprint
Although running is a common leisure activity and a core training regiment for several athletes, between $29\%$ and $79\%$ of runners sustain an overuse injury each year. These injuries are linked to excessive fatigue, which alters how someone runs. In this work, we explore the feasibility of modelling the Borg received perception of exertion (RPE)...
Preprint
Full-text available
Among the seventeen Sustainable Development Goals (SDGs) proposed within the 2030 Agenda and adopted by all the United Nations member states, the 13$^{th}$ SDG is a call for action to combat climate change for a better world. In this work, we provide an overview of areas in which audio intelligence -- a powerful but in this context so far hardly co...
Preprint
Full-text available
Among the seventeen Sustainable Development Goals (SDGs) proposed within the 2030 Agenda and adopted by all the United Nations member states, the Fifth SDG is a call for action to turn Gender Equality into a fundamental human right and an essential foundation for a better world. It includes the eradication of all types of violence against women. Wi...
Article
Full-text available
Speech ‘in-the-wild’ is a handicap for speaker recognition systems due to the variability induced by real-life conditions, such as environmental noise and the emotional state of the speaker. Taking advantage of the principles of representation learning, we aim to design a recurrent denoising autoencoder that extracts robust speaker embeddings from...
Chapter
Currently, most of the affective computing research is about modifying and adapting the machine behavior based on the human emotional state. Although, the use of the affective state inference can be extended to provide a tool for other fields more society related such as gender violence detection, which is a real global emergency. Based on the Worl...
Preprint
Full-text available
Speech 'in-the-wild' is a handicap for speaker recognition systems due to the variability induced by real-life conditions, such as environmental noise and emotions in the speaker. Taking advantage of representation learning, on this paper we aim to design a recurrent denoising autoencoder architecture that extracts robust low-dimensional representa...
Article
Full-text available
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 mitiga...

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