Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Leila Ben Letaifa"'
Autor:
Leila Ben Letaifa, Jean-Luc Rouas
Publikováno v:
Algorithms, Vol 16, Iss 9, p 398 (2023)
Transformer models are being increasingly used in end-to-end speech recognition systems for their performance. However, their substantial size poses challenges for deploying them in real-world applications. These models heavily rely on attention and
Externí odkaz:
https://doaj.org/article/3b78213a31714f75b31ae8e0168dea02
Autor:
Leila Ben Letaifa, M. Ines Torres
Publikováno v:
IEEE Access, Vol 9, Pp 55939-55954 (2021)
Speech is a behavioural biometric signal that can provide important information to understand the human intends as well as their emotional status. The paper is centered on the speech-based identification of the seniors’s emotional status during the
Externí odkaz:
https://doaj.org/article/7ef90a0d085349ec903cb55c4b378bb0
Autor:
Leila Ben Letaifa, Jean-Luc Rouas
Publikováno v:
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA)
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), Dec 2022, Nassau, Bahamas. pp.897-902, ⟨10.1109/ICMLA55696.2022.00149⟩
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), Dec 2022, Nassau, Bahamas. pp.897-902, ⟨10.1109/ICMLA55696.2022.00149⟩
In automatic speech recognition, deep learning models such as transformers are increasingly used for their high performance. However, they suffer from their large size, which makes it very difficult to use them in real contexts. Hence the idea of pru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24be8e62830cf44ba3efacc37bc3a2a6
https://hal.science/hal-04047338/file/conference_101719.pdf
https://hal.science/hal-04047338/file/conference_101719.pdf
Autor:
Leila Ben Letaifa, Jean-Luc Rouas
Publikováno v:
2022 30th European Signal Processing Conference (EUSIPCO).
Autor:
Sergio Escalera, Stephan Schlögl, Cristina Palmero, Gary Cahalane, Leila Ben Letaifa, Alain Vázquez, Raquel Justo, Anna Esposito, Kristin Beck Gjellesvik, Pau Buch, Asier López-Zorrilla, Gérard Chollet, Eduardo González-Fraile, Maria Stylianou Kornes, Cornelius Glackin, Dijana Petrovska-Delacrétaz, Begona Fernandez-Ruanova, Cesar Montenegro, Javier Mikel Olaso, Gennaro Cordasco, María Inés Torres, Daria Kyslitska, Aymen Mtibaa, Jose A. Lozano, Colin Pickard, Jofre Tenorio-Laranga, Anaïs Fernandez, Mikel de Velasco, Roberto Santana, Olivier Deroo, Mohamed Amine Hmani, Anna Torp Johansen, Olga Gordeeva
Publikováno v:
ICMI
The main objective of the EMPATHIC project has been the design and development of a virtual coach to engage the healthy-senior user and to enhance well-being through awareness of personal status. The EMPATHIC approach addresses this objective through
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e739da7220f6120606004f2acbf1428c
http://hdl.handle.net/11591/457312
http://hdl.handle.net/11591/457312
Autor:
Mikel deVelasco, M. Inés Torres, Leila Ben Letaifa, Alain Vázquez, Javier Mikel Olaso, Asier López-Zorrilla, Raquel Justo
Publikováno v:
Addi. Archivo Digital para la Docencia y la Investigación
instname
Lecture Notes in Electrical Engineering
Lecture Notes in Electrical Engineering-Conversational Dialogue Systems for the Next Decade
Addi: Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco
Lecture Notes in Electrical Engineering ISBN: 9789811583940
IWSDS
instname
Lecture Notes in Electrical Engineering
Lecture Notes in Electrical Engineering-Conversational Dialogue Systems for the Next Decade
Addi: Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco
Lecture Notes in Electrical Engineering ISBN: 9789811583940
IWSDS
Paper presented at 11th International Workshop on Spoken Dialogue Systems, IWSDS 2020; Madrid; Spain; 21 September 2020 through 23 September 2020 In this work, a Spanish corpus that was developed, within the EMPATHIC project (http://www.empathic-proj
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3cbf6723cbe7a214aa3170672c412bc
http://hdl.handle.net/10810/50021
http://hdl.handle.net/10810/50021
Autor:
Ben Letaifa, Leila1,2 (AUTHOR) jean-luc.rouas@labri.fr, Rouas, Jean-Luc2 (AUTHOR)
Publikováno v:
Algorithms. Sep2023, Vol. 16 Issue 9, p398. 19p.
Autor:
Leila Ben Letaifa, M. Ines Torres
Publikováno v:
Addi: Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco
IEEE Access
Addi. Archivo Digital para la Docencia y la Investigación
instname
IEEE Access, 2021, 9, pp.55939-55954. ⟨10.1109/ACCESS.2021.3071485⟩
IEEE Access, Vol 9, Pp 55939-55954 (2021)
Universidad del País Vasco
IEEE Access
Addi. Archivo Digital para la Docencia y la Investigación
instname
IEEE Access, 2021, 9, pp.55939-55954. ⟨10.1109/ACCESS.2021.3071485⟩
IEEE Access, Vol 9, Pp 55939-55954 (2021)
Speech is a behavioural biometric signal that can provide important information to understand the human intends as well as their emotional status. The paper is centered on the speech-based identification of the seniors’s emotional status during the
Publikováno v:
2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)
Addi. Archivo Digital para la Docencia y la Investigación
instname
ATSIP
Addi: Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco
Addi. Archivo Digital para la Docencia y la Investigación
instname
ATSIP
Addi: Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco
Developing accurate emotion recognition systems requires extracting suitable features of these emotions. In this paper, we propose an original approach of parameters extraction based on the strong, theoretical and empirical, correlation between the e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d73fc18b31e8edd5bc78df6fceabd02
Publikováno v:
IberSPEECH 2021
IberSPEECH
Addi. Archivo Digital para la Docencia y la Investigación
instname
Addi: Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco
IberSPEECH
Addi. Archivo Digital para la Docencia y la Investigación
instname
Addi: Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco
Conferencia presentada en IberSPEECH 2021, 24-25 March 2021, Valladolid, Spain This work is aimed to contrast the similarities and differences for the emotions identified in two very different scenarios: human-to-human interaction on Spanish TV debat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f1ed0696071329ff2e15cd0a9ab909e