Description

Born in Barcelona in 1972. He is a Telecommunications Engineer since 2001 and obtained his Ph.D. in 2010 both from Universidad Politécnica de Madrid (UPM).
His research interests lie in the field of signal processing, particularly of audio, speech and medical images, where he has contributed more than 15 papers to international journals and 50 conference communications.
He is a member of GAMMA research group since its inception in 2015.
He is currently a lecturer (Ayudante Doctor) at the Department of Audiovisual and Communications Engineering (DIAC) at the Escuela Técnica Superior de Ingeniería y Sistemas de Telecomunicación (ETSIST) in UPM.

Publications

• Exploiting spatial diversity for increasing the robustness of sound source localization systems against reverberation

• Osma Ruíz, V. J., Sáenz Lechón, N., Fraile Muñoz, R., Gutiérrez-Arriola, J. M. & García Barrios, G
  2023
  Applied Acoustics, 202

• Analytical Model for the Relation Between Signal Bandwidth and Spatial Resolution in Steered‐Response Power Phase Transform (SRP‐PHAT) Maps

• García Barrios, G., Gutiérrez-Arriola, J. M., Osma Ruíz, V. J., Sáenz Lechón, N. & Fraile Muñoz, R
  2021
  IEEE Access, 9, 121549‐ 121560

• A transversal study of fundamental frequency contours in parkinsonian voices

• Pablo, R. P., Fraile Muñoz, R., Miguel, G.-E., Sáenz Lechón, N., Gutiérrez-Arriola, J. M. & Osma Ruíz, V. J
  2019
  BIOMEDICAL SIGNAL PROCESSING AND CONTROL(51), 374-381

• Variability of the fundamental frequency of Parkinsonian voices in read speech: A transversal study

• Rodríguez, P., Fraile Muñoz, R., García, M., Sáenz Lechón, N., Gutiérrez-Arriola, J. M. & Osma Ruíz, V. J. (2017). Variability of the fundamental frequency of Parkinsonian voices in read speech: A transversal study, 0th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA 2017.

• Skin lesion segmentation based on preprocessing, thresholding and neural networks

• Gutiérrez-Arriola, J. M., Gómez-Álvarez, M., Osma Ruíz, V. J., Sáenz Lechón, N. & Fraile Muñoz, R. (2017). Skin lesion segmentation based on preprocessing, thresholding and neural networks.

Projects

• Formación en Sistemas de reducción de ruido

• Detección de eventos en señales acústicas (NEOTEC – Sistema para la evaluación del impacto de marca SyBA)