Eduardo Lleida
Principal Researcher and Head of VIVOLAB
Professor of Electrical Engineering
Vivolab, University of Zaragoza Aragón Institute for Engineering Research (I3A)
Biography
Eduardo Lleida received the M.Sc. degree in telecommunication engineering and the Ph.D. degree in signal processing from the Universitat Politcnica de Catalunya (UPC), Barcelona, Spain, in 1985 and 1990, respectively. From 1986 to 1988, he was involved in his doctoral work in the Department of Signal Theory and Communications, UPC. From 1989 to 1990, he was an Assistant Professor, and from 1991 to 1993, he was an Associated Professor in the Department of Signal Theory and Communications, UPC. From February 1995 to January 1996, he was with AT&T Bell Laboratories, Murray Hill, NJ, USA, as a Consultant in speech recognition.
He is currently a full Professor of signal theory and communications in the Department of Electronic Engineering and Communications, University of Zaragoza, Zaragoza, Spain, and a member of the Aragón Institute for Engineering Research, where he is heading the ViVoLab research group in speech technologies. He has been the doctoral advisor of 12 doctoral students. He has managed more than 50 speech-related projects, being inventor in six worldwide patents, and coauthored more than 200 technical papers in the field of speech, speaker and language recognition, speech enhancement and recognition in adverse acoustic environments, acoustic modeling, confidence measures, and spoken dialogue systems.
Publications
2022
Wiener Filter and Deep Neural Networks: A Well-Balanced Pair for Speech Enhancement Artículo de revista
En: Applied Sciences, vol. 12, no. 18, pp. 9000, 2022.
Shouted and whispered speech compensation for speaker verification systems Artículo de revista
En: Digital Signal Processing, vol. 127, pp. 103536, 2022.
Unsupervised Adaptation of Deep Speech Activity Detection Models to Unseen Domains Artículo de revista
En: Applied Sciences, vol. 12, no. 4, pp. 1832, 2022.
aDCF Loss Function for Deep Metric Learning in End-to-End Text-Dependent Speaker Verification Systems Artículo de revista
En: IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 30, pp. 772-784, 2022.
Multimodal Diarization Systems by Training Enrollment Models as Identity Representations Artículo de revista
En: Applied Sciences, vol. 12, no. 3, pp. 1141, 2022.
