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Rubén San-Segundo

Researcher at Technical University of Madrid

Publications -  91
Citations -  1912

Rubén San-Segundo is an academic researcher from Technical University of Madrid. The author has contributed to research in topics: Sign language & Word error rate. The author has an hindex of 20, co-authored 87 publications receiving 1484 citations. Previous affiliations of Rubén San-Segundo include University of Colorado Boulder.

Papers
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Journal ArticleDOI

Analysis of transition cost and model parameters in speaker diarization for meetings

Beatriz Martínez-González, +4 more
- 01 Dec 2021 - 
TL;DR: In this paper, a transition penalty term is proposed to penalize or favor transitions between speakers, which should be independent both of the number of active speakers and the minimum duration of speaker turns.
Journal ArticleDOI

Scoring Performance on the Y-Balance Test Using a Deep Learning Approach.

Manuel Gil-Martín, +3 more
- 26 Oct 2021 - 
TL;DR: In this paper, a deep learning approach was proposed to automatically score the Y Balance Test (YBT) by estimating the normalized reach distance (NRD) using a wearable sensor to register inertial signals during the movement.
Proceedings Article

UPM system for WMT 2012

Verónica López-Ludeña, +2 more
TL;DR: The UPM system for the Spanish-English translation task at the NAACL 2012 workshop on statistical machine translation, based on Moses, is described and a technique for selecting the sentences for tuning the system is proposed.
Proceedings Article

Development of a Genre-Dependent TTS System with Cross-Speaker Speaking-Style Transplantation

Jaime Lorenzo-Trueba, +8 more
TL;DR: The current architecture is based on a two-step approach: text genre identification and speaking style synthesis according to the detected discourse genre, and transplantation was significantly preferred and the similarity to the target speaker was as high as 78%.
Journal ArticleDOI

Use of Laughter for the Detection of Parkinson’s Disease: Feasibility Study for Clinical Decision Support Systems, Based on Speech Recognition and Automatic Classification Techniques

Miguel Terriza, +8 more
- 01 Sep 2022 - 
TL;DR: A feasibility study for a clinical decision support system for the diagnosis of PD based on the acoustic characteristics of laughter based on laugh analysis with speech recognition methods and automatic classification techniques is presented.