Transfer Learning-Based Cough Representations for Automatic Detection of COVID-19

Autor: Rubén Solera-Ureña, Thomas Rolland, Catarina Santos Botelho, Isabel Trancoso, Alberto Abad, Francisco Teixeira

Publikováno v: Interspeech 2021

In the last months, there has been an increasing interest in developing reliable, cost-effective, immediate and easy to use machine learning based tools that can help health care operators, institutions, companies, etc. to optimize their screening ca

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a294deceb37042669fa11716f98851d8

Uma abordagem de aprendizagem semissupervisionada para a classificação automática de personalidade baseada em pistas acústico-prosódicas

Autor: Rubén Solera-Ureña, Isabel Trancoso, Fernando Batista, Ramón Fernández-Astudillo, Vera Cabarrão, Helena Moniz, Anna Pompili

Publikováno v: CIÊNCIAVITAE
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP

Automatic personality analysis has gained great attention in the last years as a fundamental dimension in human-machine interactions. However, the development of this technology in some domains, such as the classification of children’s personality,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d382726b5fef20b8439ebbf6f937f601

Acoustic-prosodic automatic personality trait assessment for adults and children

Autor: Rubén Solera-Ureña, Isabel Trancoso, Ramón Fernandez Astudillo, Ana Paiva, Fernando Batista, Joana Campos, Helena Moniz

Publikováno v: Advances in Speech and Language Technologies for Iberian Languages ISBN: 9783319491684
IberSPEECH
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Advances in Speech and Language Technologies for Iberian Languages
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP

This paper investigates the use of heterogeneous speech corpora for automatic assessment of personality traits in terms of the Big-Five OCEAN dimensions. The motivation for this work is twofold: the need to develop methods to overcome the lack of chi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fa9470b8e98924ca1764732dc10b469

Data Balancing for Efficient Training of Hybrid ANN/HMM Automatic Speech Recognition Systems

Autor: A I Garcia-Moral, Carmen Peláez-Moreno, Rubén Solera-Ureña, Fernando Diaz-de-Maria

Publikováno v: e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname

Hybrid speech recognizers, where the estimation of the emission pdf of the states of Hidden Markov Models (HMMs), usually carried out using Gaussian Mixture Models (GMMs), is substituted by Artificial Neural Networks (ANNs) have several advantages ov

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4ed24640face6b3a98f7efe62a64716
https://doi.org/10.1109/tasl.2010.2050513

Robust ASR using Support Vector Machines

Autor: Ascensión Gallardo-Antolín, Fernando Diaz-de-Maria, Rubén Solera-Ureña, Darío Martín-Iglesias, Carmen Peláez-Moreno

Publikováno v: e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname

The improved theoretical properties of Support Vector Machines with respect to other machine learning alternatives due to their max-margin training paradigm have led us to suggest them as a good technique for robust speech recognition. However, impor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::019637d68f58f9dc8543ee889293b0fa
https://hdl.handle.net/10016/2322