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Beltran Labrador
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2020 – today
- 2024
- [c5]Juan Ignacio Álvarez-Trejos, Beltrán Labrador, Alicia Lozano-Diez:
Leveraging Speaker Embeddings in End-to-End Neural Diarization for Two-Speaker Scenarios. Odyssey 2024: 107-114 - [i4]Beltrán Labrador, Manuel Otero-Gonzalez, Alicia Lozano-Diez, Daniel Ramos-Castro, Doroteo T. Toledano, Joaquin Gonzalez-Rodriguez:
Voxceleb-ESP: preliminary experiments detecting Spanish celebrities from their voices. CoRR abs/2401.09441 (2024) - [i3]Juan Ignacio Álvarez-Trejos, Beltrán Labrador, Alicia Lozano-Diez:
Leveraging Speaker Embeddings in End-to-End Neural Diarization for Two-Speaker Scenarios. CoRR abs/2407.01317 (2024) - 2023
- [c4]Beltrán Labrador, Guanlong Zhao, Ignacio López-Moreno, Angelo Scorza Scarpati, Liam Fowl, Quan Wang:
Exploring Sequence-to-Sequence Transformer-Transducer Models for Keyword Spotting. ICASSP 2023: 1-5 - [i2]Beltrán Labrador, Pai Zhu, Guanlong Zhao, Angelo Scorza Scarpati, Quan Wang, Alicia Lozano-Diez, Alex Park, Ignacio López-Moreno:
Personalizing Keyword Spotting with Speaker Information. CoRR abs/2311.03419 (2023) - 2022
- [c3]Sergio Izquierdo del Alamo, Beltrán Labrador, Alicia Lozano-Diez, Doroteo T. Toledano:
Efficient Transformers for End-to-End Neural Speaker Diarization. IberSPEECH 2022: 156-160 - [i1]Beltrán Labrador, Guanlong Zhao, Ignacio López-Moreno, Angelo Scorza Scarpati, Liam Fowl, Quan Wang:
Exploring Sequence-to-Sequence Transformer-Transducer Models for Keyword Spotting. CoRR abs/2211.06478 (2022)
2010 – 2019
- 2018
- [c2]Alicia Lozano-Diez, Beltran Labrador, Diego de Benito, Pablo Ramirez, Doroteo T. Toledano:
DNN-based Embeddings for Speaker Diarization in the AuDIaS-UAM System for the Albayzin 2018 IberSPEECH-RTVE Evaluation. IberSPEECH 2018: 224-226 - [c1]Joaquin Gonzalez-Rodriguez, Álvaro Escudero, Diego de Benito-Gorrón, Beltran Labrador, Javier Franco-Pedroso:
An Audio Fingerprinting Approach to Replay Attack Detection on ASVSPOOF 2017 Challenge Data. Odyssey 2018: 304-311
Coauthor Index
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last updated on 2024-08-14 22:17 CEST by the dblp team
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