Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Ascensión Gallardo-Antolín"'
Publikováno v:
Symmetry, Vol 13, Iss 9, p 1728 (2021)
Speech intelligibility is a crucial element in oral communication that can be influenced by multiple elements, such as noise, channel characteristics, or speech disorders. In this paper, we address the task of speech intelligibility classification (S
Externí odkaz:
https://doaj.org/article/66b046b767994d1193b628b82ba73261
Publikováno v:
Applied Sciences, Vol 11, Iss 14, p 6393 (2021)
The automatic detection of deceptive behaviors has recently attracted the attention of the research community due to the variety of areas where it can play a crucial role, such as security or criminology. This work is focused on the development of an
Externí odkaz:
https://doaj.org/article/8b1f9667e3674c568bff406cbeda439d
Publikováno v:
Entropy, Vol 22, Iss 6, p 688 (2020)
This paper proposes a speech-based method for automatic depression classification. The system is based on ensemble learning for Convolutional Neural Networks (CNNs) and is evaluated using the data and the experimental protocol provided in the Depress
Externí odkaz:
https://doaj.org/article/832b0d0eea35484a8f0b35f4c87a344c
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
instname
Speech intelligibility can be affected by multiple factors, such as noisy environments, channel distortions or physiological issues. In this work, we deal with the problem of automatic prediction of the speech intelligibility level in this latter cas
Publikováno v:
PLoS ONE, Vol 12, Iss 6, p e0179403 (2017)
Feature extraction for Acoustic Bird Species Classification (ABSC) tasks has traditionally been based on parametric representations that were specifically developed for speech signals, such as Mel Frequency Cepstral Coefficients (MFCC). However, the
Externí odkaz:
https://doaj.org/article/6445c69f8873483697d6217b981dff9d
Data Augmentation for Speaker Identification under Stress Conditions to Combat Gender-Based Violence
Autor:
Esther Rituerto-González, Alba Mínguez-Sánchez, Ascensión Gallardo-Antolín, Carmen Peláez-Moreno
Publikováno v:
Applied Sciences, Vol 9, Iss 11, p 2298 (2019)
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 t
Externí odkaz:
https://doaj.org/article/58258d60408245c598e7bbcc6b92d1dd
Publikováno v:
Applied Sciences
Volume 11
Issue 14
Applied Sciences, Vol 11, Iss 6393, p 6393 (2021)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
Volume 11
Issue 14
Applied Sciences, Vol 11, Iss 6393, p 6393 (2021)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
This article belongs to the Special Issue Computational Trust and Reputation Models. The automatic detection of deceptive behaviors has recently attracted the attention of the research community due to the variety of areas where it can play a crucial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59d242e459be098f91fec203a9a4dfad
https://hdl.handle.net/10016/33703
https://hdl.handle.net/10016/33703
Publikováno v:
IEEE Access, Vol 6, Pp 72083-72093 (2018)
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
The concept of saliency describes how relevant a stimulus is for humans. This phenomenon hasbeen studied under different perspectives and modalities, such as audio, visual, or both. It has been employedin intelligent systems to interact with their en
Data Augmentation for Speaker Identification under Stress Conditions to Combat Gender-Based Violence
Autor:
Carmen Peláez-Moreno, Alba Mínguez-Sánchez, Ascensión Gallardo-Antolín, Esther Rituerto-González
Publikováno v:
Applied Sciences
Volume 9
Issue 11
Applied Sciences, Vol 9, Iss 11, p 2298 (2019)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
Volume 9
Issue 11
Applied Sciences, Vol 9, Iss 11, p 2298 (2019)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
This article belongs to the Special Issue IberSPEECH 2018: Speech and Language Technologies for Iberian Languages A Speaker Identification system for a personalized wearable device to combat gender-based violence is presented in this paper. Speaker r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::396e1bf9476197b52afc5bc5540f39dc
https://hdl.handle.net/10016/28552
https://hdl.handle.net/10016/28552
Publikováno v:
20th Annual Conference of the International Speech Communication Association (ISCA 2019) | 20th Annual Conference of the International Speech Communication Association (ISCA 2019) | 15/09/2919-19/09/2019 | Graz, Austria
Archivo Digital UPM
Universidad Politécnica de Madrid
INTERSPEECH
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
Archivo Digital UPM
Universidad Politécnica de Madrid
INTERSPEECH
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
Proceeding of: Interspeech 2019, 20th Annual Conference of the International Speech Communication Association, Graz, Austria, 15-19 September 2019 Cognitive Load (CL) refers to the amount of mental demand that a given task imposes on an individual's
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eaa7cbd006631a88ab7309e81b0c73fd
http://oa.upm.es/65335/
http://oa.upm.es/65335/