J
Juan Manuel Montero
Researcher at Technical University of Madrid
Publications - 115
Citations - 1638
Juan Manuel Montero is an academic researcher from Technical University of Madrid. The author has contributed to research in topics: Speech synthesis & Dialog box. The author has an hindex of 20, co-authored 111 publications receiving 1451 citations.
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A project-based learning approach to design electronic systems curricula
Javier Macias-Guarasa,Juan Manuel Montero,Rubén San-Segundo,Alvaro Araujo,Octavio Nieto-Taladriz +4 more
TL;DR: An important result is that all students have developed more complex and sophisticated electronic systems, while considering that the results are worth the effort invested.
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.
Proceedings Article
Emotional speech synthesis: from speech database to TTS.
Juan Manuel Montero,Juana M. Gutiérrez-Arriola,Sira E. Palazuelos,Emilia Enríquez,Santiago Aguilera,José Manuel Pardo +5 more
TL;DR: A through study of emotional speech in Spanish, and its application to TTS, and a prototype system that simulates emotional speech using a commercial synthesiser are presented.
Journal ArticleDOI
Feature extraction from smartphone inertial signals for human activity segmentation
Rubén San-Segundo,Juan Manuel Montero,Roberto Barra-Chicote,Fernando Fernández,José Manuel Pardo +4 more
TL;DR: Adapted MFCC and PLP coefficients improve human activity recognition and segmentation accuracies while reducing feature vector size considerably, overcome significantly baseline error rates and contribute significantly to reduce the segmentation error rate.
Journal ArticleDOI
Analysis of statistical parametric and unit selection speech synthesis systems applied to emotional speech
Roberto Barra-Chicote,Junichi Yamagishi,Simon King,Juan Manuel Montero,Javier Macias-Guarasa +4 more
TL;DR: The analysis shows that, although the HMM method produces significantly better neutral speech, the two methods produce emotional speech of similar quality, except for emotions having context-dependent prosodic patterns.