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pro vyhledávání: '"Lozano-Diez A"'
End-to-end neural speaker diarization systems are able to address the speaker diarization task while effectively handling speech overlap. This work explores the incorporation of speaker information embeddings into the end-to-end systems to enhance th
Externí odkaz:
http://arxiv.org/abs/2407.01317
Autor:
Labrador, Beltrán, Zhu, Pai, Zhao, Guanlong, Scarpati, Angelo Scorza, Wang, Quan, Lozano-Diez, Alicia, Park, Alex, Moreno, Ignacio López
Keyword spotting systems often struggle to generalize to a diverse population with various accents and age groups. To address this challenge, we propose a novel approach that integrates speaker information into keyword spotting using Feature-wise Lin
Externí odkaz:
http://arxiv.org/abs/2311.03419
End-to-end diarization presents an attractive alternative to standard cascaded diarization systems because a single system can handle all aspects of the task at once. Many flavors of end-to-end models have been proposed but all of them require (so fa
Externí odkaz:
http://arxiv.org/abs/2211.06750
End-to-end neural diarization (EEND) is nowadays one of the most prominent research topics in speaker diarization. EEND presents an attractive alternative to standard cascaded diarization systems since a single system is trained at once to deal with
Externí odkaz:
http://arxiv.org/abs/2204.00890
Autor:
Morrison, Geoffrey Stewart, Enzinger, Ewald, Ramos, Daniel, González-Rodríguez, Joaquín, Lozano-Díez, Alicia
This chapter describes a number of signal-processing and statistical-modeling techniques that are commonly used to calculate likelihood ratios in human-supervised automatic approaches to forensic voice comparison. Techniques described include mel-fre
Externí odkaz:
http://arxiv.org/abs/1912.13242
This paper explores several strategies for Forensic Voice Comparison (FVC), aimed at improving the performance of the LRs when using generative Gaussian score-to-LR models. First, different anchoring strategies are proposed, with the objective of ada
Externí odkaz:
http://arxiv.org/abs/1909.08315
Validations of an alpha version of the E3 Forensic Speech Science System (E3FS3) core software tools
Autor:
Weber, Philip, Enzinger, Ewald, Labrador, Beltrán, Lozano-Díez, Alicia, Ramos, Daniel, González-Rodríguez, Joaquín, Morrison, Geoffrey Stewart
Publikováno v:
In Forensic Science International: Synergy 2022 4
Autor:
David Martin-Gutierrez, Gustavo Hernandez-Penaloza, Alberto Belmonte Hernandez, Alicia Lozano-Diez, Federico Alvarez
Publikováno v:
IEEE Access, Vol 9, Pp 54591-54601 (2021)
During the last decades, the volume of multimedia content posted in social networks has grown exponentially and such information is immediately propagated and consumed by a significant number of users. In this scenario, the disruption of fake news pr
Externí odkaz:
https://doaj.org/article/1ebb755a99db4bc6a0a8cbf21d5f538b
Autor:
Portela-Romero, M., Cinza-Sanjurjo, S., Conde-Sabarís, P., Lozano Díez, I., Rodrígu ez Calvo, M.
Publikováno v:
In Medicina de Familia. SEMERGEN November-December 2020 46(8):538-544
Publikováno v:
Advances in Building Education, Vol 4, Iss 3, Pp 23-34 (2020)
The Building Information Modelling (BIM) methodology is currently the main work platform in the construction industry, and all sectors have been enhancing its applicability. The demonstration of the benefits registered in the development of various a
Externí odkaz:
https://doaj.org/article/f61c2beed6f74bb497ce4715be71cabf