Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Daniel Saez-Trigueros"'
Autor:
Adam Gabrys, Kamil Pokora, Daniel Saez-Trigueros, Viacheslav Klimkov, Jaime Lorenzo-Trueba, Jakub Lachowicz, Abdelhamid Ezzerg, Bartosz Putrycz, Daniel Korzekwa, David McHardy
Artificial speech synthesis has made a great leap in terms of naturalness as recent Text-to-Speech (TTS) systems are capable of producing speech with similar quality to human recordings. However, not all speaking styles are easy to model: highly expr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f3066dd01521b970701004da0d2159f
http://arxiv.org/abs/2108.06270
http://arxiv.org/abs/2108.06270
Autor:
Sri Karlapati, Viacheslav Klimkov, Daniel Saez-Trigueros, Alexis Moinet, Thomas Drugman, Arnaud Joly
Publikováno v:
INTERSPEECH
Prosody Transfer (PT) is a technique that aims to use the prosody from a source audio as a reference while synthesising speech. Fine-grained PT aims at capturing prosodic aspects like rhythm, emphasis, melody, duration, and loudness, from a source au
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b74e95fa2eb409504348346e0562ff9
http://arxiv.org/abs/2004.14617
http://arxiv.org/abs/2004.14617
Despite the recent success of convolutional neural networks for computer vision applications, unconstrained face recognition remains a challenge. In this work, we make two contributions to the field. Firstly, we consider the problem of face recogniti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::859c555b82e7c0ace267d9ceefdec41a
Publikováno v:
MIPRO
This paper proposes a face recognition system that can be used to effectively match a face image scanned from an identity (ID) document against the face image stored in the bio-metric chip of such a document. The purpose of this specific face recogni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4783e417f32c297d96cc906da4e132e4
https://doi.org/10.1109/mipro.2016.7522348
https://doi.org/10.1109/mipro.2016.7522348
Autor:
Andrzej D. Dobrzycki, Ana M. Bernardos, Luca Bergesio, Andrzej Pomirski, Daniel Sáez-Trigueros
Publikováno v:
Mathematics, Vol 12, Iss 1, p 76 (2023)
Accurate human posture classification in images and videos is crucial for automated applications across various fields, including work safety, physical rehabilitation, sports training, or daily assisted living. Recently, multimodal learning methods,
Externí odkaz:
https://doaj.org/article/bd0a25bba3cf424abb4aa3df708250d0
Autor:
María Villa-Monedero, Manuel Gil-Martín, Daniel Sáez-Trigueros, Andrzej Pomirski, Rubén San-Segundo
Publikováno v:
Journal of Imaging, Vol 9, Iss 12, p 262 (2023)
Several sign language datasets are available in the literature. Most of them are designed for sign language recognition and translation. This paper presents a new sign language dataset for automatic motion generation. This dataset includes phonemes f
Externí odkaz:
https://doaj.org/article/a58ad238ce434ef7b6a8057d0b4ce81a
Autor:
Manuel Gil-Martín, María Villa-Monedero, Andrzej Pomirski, Daniel Sáez-Trigueros, Rubén San-Segundo
Publikováno v:
Sensors, Vol 23, Iss 23, p 9365 (2023)
This paper proposes, analyzes, and evaluates a deep learning architecture based on transformers for generating sign language motion from sign phonemes (represented using HamNoSys: a notation system developed at the University of Hamburg). The sign ph
Externí odkaz:
https://doaj.org/article/305cda5287cd43049dde00d55eb551ef