Design and Evaluation of a Voice-Controlled Elevator System to Improve the Safety and Accessibility

Autor: Ander Gonzalez Docasal, Jon Alonso, Jon Olaizola, Mikel Mendicute, Maria Patricia Franco, Arantza Del Pozo, Daniel Aguinaga, Aitor Alvarez, Eduardo Lleida

Publikováno v: IEEE Open Journal of the Industrial Electronics Society, Vol 5, Pp 1239-1250 (2024)

This work introduces the design and assessment of a voice-controlled elevator system aimed at facilitating touchless interaction between users and hardware, thereby minimizing contact and improving accessibility for individuals with disabilities. The

Externí odkaz: https://doaj.org/article/bb4016e85d914f5d8c20c122b1e07c97

Core-Shell Palladium/MOF Platforms as Diffusion-Controlled Nanoreactors in Living Cells and Tissue Models

Autor: Raquel Martínez, Carolina Carrillo-Carrión, Paolo Destito, Aitor Alvarez, María Tomás-Gamasa, Beatriz Pelaz, Fernando Lopez, José L. Mascareñas, Pablo del Pino

Publikováno v: Cell Reports Physical Science, Vol 1, Iss 6, Pp 100076- (2020)

Summary: Translating the potential of transition metal catalysis to biological and living environments promises to have a profound impact in chemical biology and biomedicine. A major challenge in the field is the creation of metal-based catalysts tha

Externí odkaz: https://doaj.org/article/2127d2ea35e44292ba3323fea5207eee

Feature selection for speech emotion recognition in Spanish and Basque: on the use of machine learning to improve human-computer interaction.

Autor: Andoni Arruti, Idoia Cearreta, Aitor Alvarez, Elena Lazkano, Basilio Sierra

Publikováno v: PLoS ONE, Vol 9, Iss 10, p e108975 (2014)

Study of emotions in human-computer interaction is a growing research area. This paper shows an attempt to select the most significant features for emotion recognition in spoken Basque and Spanish Languages using different methods for feature selecti

Externí odkaz: https://doaj.org/article/74f6cf24afaa4940a98e902de3de9223

Limited characters, unlimited perspectives: A longitudinal volume and content analysis of academic research and Tweets on rare diseases

Autor: Simon Leigh, Aitor Alvarez-Fernandez, Nathan Tickner, Max Noble

Background The development of medicines which can genuinely make a difference requires the identification of clinical, economic, and patient-centric needs. Yet, recognising the needs and experiences of both patients and healthcare professionals (HCPs

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c145935436ea5769b31c3c8b982b89ba
https://doi.org/10.21203/rs.3.rs-2150078/v1

Evaluating Novel Speech Transcription Architectures on the Spanish RTVE2020 Database

Autor: Aitor Alvarez, Ivan González Torre, Ander González Docasal, Haritz Arzelus

Publikováno v: Zaguán. Repositorio Digital de la Universidad de Zaragoza
Consejo Superior de Investigaciones Científicas (CSIC)
Applied Sciences; Volume 12; Issue 4; Pages: 1889

This work presents three novel speech recognition architectures evaluated on the Spanish RTVE2020 dataset, employed as the main evaluation set in the Albayzín S2T Transcription Challenge 2020. The main objective was to improve the performance of the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30c0360423c5a432031ecbcc8fc77afc
http://zaguan.unizar.es/record/112775