Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Aitor Álvarez"'
Autor:
Eduardo Lleida, Luis Javier Rodriguez-Fuentes, Javier Tejedor, Alfonso Ortega, Antonio Miguel, Virginia Bazán, Carmen Pérez, Alberto de Prada, Mikel Penagarikano, Amparo Varona, Germán Bordel, Doroteo Torre-Toledano, Aitor Álvarez, Haritz Arzelus
Publikováno v:
Applied Sciences, Vol 13, Iss 15, p 8577 (2023)
Evaluation campaigns provide a common framework with which the progress of speech technologies can be effectively measured. The aim of this paper is to present a detailed overview of the IberSpeech-RTVE 2022 Challenges, which were organized as part o
Externí odkaz:
https://doaj.org/article/75d032e326114ebca601ea06a1a3cd04
Autor:
Ander González-Docasal, Aitor Álvarez
Publikováno v:
Applied Sciences, Vol 13, Iss 14, p 8049 (2023)
Voice cloning, an emerging field in the speech-processing area, aims to generate synthetic utterances that closely resemble the voices of specific individuals. In this study, we investigated the impact of various techniques on improving the quality o
Externí odkaz:
https://doaj.org/article/8ffb8df7ef294f9da86de57304238150
Publikováno v:
Sensors, Vol 23, Iss 4, p 1843 (2023)
The growth in online child exploitation material is a significant challenge for European Law Enforcement Agencies (LEAs). One of the most important sources of such online information corresponds to audio material that needs to be analyzed to find evi
Externí odkaz:
https://doaj.org/article/4af1452246ad4984880885967162c397
Publikováno v:
Applied Sciences, Vol 12, Iss 4, p 1889 (2022)
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://doaj.org/article/cf9bed1cb04345ae82398d7d19039c5f
Publikováno v:
Applied Sciences, Vol 11, Iss 19, p 8872 (2021)
Automatic speech recognition in patients with aphasia is a challenging task for which studies have been published in a few languages. Reasonably, the systems reported in the literature within this field show significantly lower performance than those
Externí odkaz:
https://doaj.org/article/da9433631499482aa5e851123dea15b5
Autor:
Artzai Picon, Unai Irusta, Aitor Álvarez-Gila, Elisabete Aramendi, Felipe Alonso-Atienza, Carlos Figuera, Unai Ayala, Estibaliz Garrote, Lars Wik, Jo Kramer-Johansen, Trygve Eftestøl
Publikováno v:
PLoS ONE, Vol 14, Iss 5, p e0216756 (2019)
Early defibrillation by an automated external defibrillator (AED) is key for the survival of out-of-hospital cardiac arrest (OHCA) patients. ECG feature extraction and machine learning have been successfully used to detect ventricular fibrillation (V
Externí odkaz:
https://doaj.org/article/52ea6fe2aed943c9a56599c05b0085f2
Publikováno v:
Sensors, Vol 16, Iss 1, p 21 (2015)
In this paper, a new supervised classification paradigm, called classifier subset selection for stacked generalization (CSS stacking), is presented to deal with speech emotion recognition. The new approach consists of an improvement of a bi-level mul
Externí odkaz:
https://doaj.org/article/c8710b815c8b488d9d9bcf913c00abbe
Publikováno v:
IberSPEECH 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74a6131a4aa2513d5da33beff8a9e5f6
https://doi.org/10.21437/iberspeech.2022-3
https://doi.org/10.21437/iberspeech.2022-3
Autor:
Raquel Alonso-Redondo, Alejandro González-Pérez, Ángel Penas, Aitor Álvarez-Santacoloma, Sara del Río, Giovanni Breogán Ferreiro Lera
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
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The conservation of nature is a problem that has concerned the scientific community for many years. Plants and plant communities play a main role in evaluation and land management studies, owing to their importance as natural and cultural resources.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebb5abf2711243f498aafa64d9b719eb
https://doi.org/10.5772/intechopen.97426
https://doi.org/10.5772/intechopen.97426
This paper describes our proposed integration system for the spoofing-aware speaker verification challenge. It consists of a robust spoofing-aware verification system that use the speaker verification and antispoofing embeddings extracted from specia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a54cf21116fbe7b6505b32f4a445d86