F
F. Fernández
Researcher at Technical University of Madrid
Publications - 17
Citations - 237
F. Fernández is an academic researcher from Technical University of Madrid. The author has contributed to research in topics: Voice activity detection & Utterance. The author has an hindex of 7, co-authored 17 publications receiving 212 citations.
Papers
More filters
Journal ArticleDOI
Speech to sign language translation system for Spanish
Rubén San-Segundo,R. Barra,Ricardo de Córdoba,Luis Fernando D'Haro,F. Fernández,Javier Ferreiros,J. M. Lucas,Javier Macias-Guarasa,Juan Manuel Montero,José Manuel Pardo +9 more
TL;DR: The development of and the first experiments in a Spanish to sign language translation system in a real domain focusing on the sentences spoken by an official when assisting people applying for, or renewing their Identity Card are described.
Journal ArticleDOI
Design, development and field evaluation of a Spanish into sign language translation system
Rubén San-Segundo,Juan Manuel Montero,Ricardo de Córdoba,Valentín Sama,F. Fernández,Luis Fernando D'Haro,Verónica López-Ludeña,D. Sánchez,A. García +8 more
TL;DR: The design, development and field evaluation of a machine translation system from Spanish to Spanish Sign Language (LSE: Lengua de Signos Española) and the main problems found and a discussion on how to solve them are detailed.
Journal ArticleDOI
A speech interface for air traffic control terminals
Javier Ferreiros,José Manuel Pardo,R. de Cordoba,Javier Macias-Guarasa,Juan Manuel Montero,F. Fernández,V. Sama,L.F. dʼHaro,Germán González +8 more
TL;DR: Both objective and subjective performance obtained in field evaluation of the speech interface are presented, encouraging future development and integration phases in the Spanish ATC terminals designed by Aeropuertos Espanoles y Navegacion Aerea.
Journal ArticleDOI
Air traffic control speech recognition system cross-task & speaker adaptation
R. de Cordoba,Javier Ferreiros,Rubén San-Segundo,Javier Macias-Guarasa,Juan Manuel Montero,F. Fernández,Luis Fernando D'Haro,José Manuel Pardo +7 more
TL;DR: An overview of the most common techniques used in automatic speech recognition to adapt a general system to a different environment (known as cross-task adaptation) such as in an air traffic control system (ATC), finding that MLLR can outperform MAP when a large number of transforms is used, and M LLR followed by MAP is the best option.
Journal Article
Managin speaker identity and user profiles in a spoken dialogue system
TL;DR: This paper uses the output of an unsuper- vised speaker identification module and a natural language understanding module to adapt the behaviour of the SDS to each particular user by developing a statistic analysis of the preferred goals of each user.