Follow
Beltran Labrador
Beltran Labrador
PhD Student, Audias, Universidad Autónoma de Madrid
Verified email at uam.es
Title
Cited by
Cited by
Year
Validations of an alpha version of the E3 Forensic Speech Science System (E3FS3) core software tools
P Weber, E Enzinger, B Labrador, A Lozano-Díez, D Ramos, ...
Forensic Science International: Synergy 4, 100223, 2022
122022
An Audio Fingerprinting Approach to Replay Attack Detection on ASVSPOOF 2017 Challenge Data.
J Gonzalez-Rodriguez, A Escudero, D de Benito-Gorrón, B Labrador, ...
Odyssey, 304-311, 2018
62018
Forensic voice comparison–human-supervised-automatic approach
GS Morrison, P Weber, E Enzinger, B Labrador, A Lozano-Díez, D Ramos, ...
Encyclopedia of Forensic Sciences, third ed., Elsevier, 2022
42022
DNN-based Embeddings for Speaker Diarization in the AuDIaS-UAM System for the Albayzin 2018 IberSPEECH-RTVE Evaluation.
A Lozano-Diez, B Labrador, D de Benito, P Ramirez, DT Toledano
IberSPEECH, 224-226, 2018
32018
Exploring Sequence-to-Sequence Transformer-Transducer Models for Keyword Spotting
B Labrador, G Zhao, IL Moreno, AS Scarpati, L Fowl, Q Wang
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
22023
Voxceleb-ESP: preliminary experiments detecting Spanish celebrities from their voices
B Labrador, M Otero-Gonzalez, A Lozano-Diez, D Ramos, DT Toledano, ...
arXiv preprint arXiv:2401.09441, 2023
2023
Personalizing Keyword Spotting with Speaker Information
B Labrador, P Zhu, G Zhao, AS Scarpati, Q Wang, A Lozano-Diez, A Park, ...
arXiv preprint arXiv:2311.03419, 2023
2023
Efficient Transformers for End-to-End Neural Speaker Diarization
SI del Alamo, B Labrador, A Lozano-Diez, DT Toledano
Proc. IberSPEECH 2022, 156-160, 2022
2022
Combinación de DNN y audio fingerprinting para detección de ataques de reproducción acústica multidispositivo de passwords habladas
B Labrador Serrano
2019
Clasificación de eventos en señales temporales procedentes de sensores industriales
B Labrador Serrano
2017
The system can't perform the operation now. Try again later.
Articles 1–10