Rubén Solera-Ureña

Hybrid Models for Automatic Speech Recognition: A Comparison of Classical ANN and Kernel Based Methods

Carmen Peláez-Moreno, Fernando Díaz-de-María, Ana I. García-Moral, 2007, NOLISP.

UC3M High Level Feature Extraction at TRECVID 2008

Manel Martínez-Ramón, Vanessa Gómez-Verdejo, Jerónimo Arenas-García, 2008, TRECVID.

A Semi-Supervised Learning Approach for Acoustic-Prosodic Personality Perception in Under-Resourced Domains

Helena Moniz, Ramón Fernández Astudillo, Fernando Batista, 2017, INTERSPEECH.

SVMs for Automatic Speech Recognition: A Survey

Carmen Peláez-Moreno, Fernando Díaz-de-María, Ascensión Gallardo-Antolín, 2005, WNSP.

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

Carmen Peláez-Moreno, Fernando Díaz-de-María, Ana I. García-Moral, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

Robust ASR using Support Vector Machines

Carmen Peláez-Moreno, Fernando Díaz-de-María, Ascensión Gallardo-Antolín, 2007, Speech Commun..

Acoustic-Prosodic Automatic Personality Trait Assessment for Adults and Children

Helena Moniz, Ana Paiva, Ramón Fernández Astudillo, 2016, IberSPEECH.

Real-Time Robust Automatic Speech Recognition Using Compact Support Vector Machines

Carmen Peláez-Moreno, Manel Martínez-Ramón, Fernando Díaz-de-María, 2012, IEEE Transactions on Audio, Speech, and Language Processing.

Using Self-Supervised Feature Extractors with Attention for Automatic COVID-19 Detection from Speech pdf

Isabel Trancoso, Alberto Abad, Rubén Solera-Ureña, 2021, ArXiv.