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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.

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Speech to sign language translation system for Spanish

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.
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Design, development and field evaluation of a Spanish into sign language translation system

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.
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A speech interface for air traffic control terminals

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.
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Air traffic control speech recognition system cross-task & speaker adaptation

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.