On the Use of Convolutional Neural Networks in Pairwise Language Recognition. - Alicia Lozano-Diez; Javier Gonzalez-Dominguez; Rubén Zazo; Daniel Ramos 001; Joaquín González-Rodríguez (IberSPEECH, 2014)

An end-to-end approach to language identification in short utterances using convolutional neural networks. - Alicia Lozano-Diez; Rubén Zazo-Candil; Javier Gonzalez-Dominguez; Doroteo T. Toledano; Joaquín González-Rodríguez (INTERSPEECH, 2015)

Detection of Publicity Mentions in Broadcast Radio: Preliminary Results. - María Pilar Fernández-Gallego; Álvaro Mesa-Castellanos; Alicia Lozano-Diez; Doroteo T. Toledano (IberSPEECH, 2016)

Analysis and Optimization of Bottleneck Features for Speaker Recognition. - Alicia Lozano-Diez; Anna Silnova; Pavel Matejka; Ondrej Glembek; Oldrich Plchot; Jan Pesán; Lukás Burget; Joaquin Gonzalez-Rodriguez (Odyssey, 2016)

Evaluation of an LSTM-RNN System in Different NIST Language Recognition Frameworks. - Rubén Zazo; Alicia Lozano-Diez; Joaquin Gonzalez-Rodriguez (Odyssey, 2016)

Improving Robustness of Speaker Recognition to New Conditions Using Unlabeled Data. - Diego Castán; Mitchell McLaren; Luciana Ferrer; Aaron Lawson; Alicia Lozano-Diez (INTERSPEECH, 2017)

Bottleneck and Embedding Representation of Speech for DNN-based Language and Speaker Recognition. - Alicia Lozano-Diez; Joaquin Gonzalez-Rodriguez; Javier Gonzalez-Dominguez (IberSPEECH, 2018)

DNN-based Embeddings for Speaker Diarization in the AuDIaS-UAM System for the Albayzin 2018 IberSPEECH-RTVE Evaluation. - Alicia Lozano-Diez; Beltran Labrador; Diego de Benito; Pablo Ramirez; Doroteo T. Toledano (IberSPEECH, 2018)

DNN Based Embeddings for Language Recognition. - Alicia Lozano-Diez; Oldrich Plchot; Pavel Matejka; Joaquin Gonzalez-Rodriguez (ICASSP, 2018)

Analysis of DNN-based Embeddings for Language Recognition on the NIST LRE 2017. - Alicia Lozano-Diez; Oldrich Plchot; Pavel Matejka; Ondrej Novotný; Joaquin Gonzalez-Rodriguez (Odyssey, 2018)

Analysis of BUT-PT Submission for NIST LRE 2017. - Oldrich Plchot; Pavel Matejka; Ondrej Novotný; Sandro Cumani; Alicia Lozano-Diez; Josef Slavícek; Mireia Díez; Frantisek Grézl; Ondrej Glembek; Mounika Kamsali; Anna Silnova; Lukás Burget; et al. (Odyssey, 2018)

Deconstructing Cross-Entropy for Probabilistic Binary Classifiers. - Daniel Ramos 001; Javier Franco-Pedroso; Alicia Lozano-Diez; Joaquin Gonzalez-Rodriguez (Entropy, 2018)

Bayesian Strategies for Likelihood Ratio Computation in Forensic Voice Comparison with Automatic Systems. - Daniel Ramos 001; Juan Maroñas; Alicia Lozano-Diez (CoRR, 2019)

Statistical Models in Forensic Voice Comparison. - Geoffrey Stewart Morrison; Ewald Enzinger; Daniel Ramos 001; Joaquín González-Rodríguez; Alicia Lozano-Diez (CoRR, 2019)

Exploring convolutional, recurrent, and hybrid deep neural networks for speech and music detection in a large audio dataset. - Diego de Benito-Gorrón; Alicia Lozano-Diez; Doroteo T. Toledano; Joaquin Gonzalez-Rodriguez (EURASIP J. Audio Speech Music. Process., 2019)

BUT Text-Dependent Speaker Verification System for SdSV Challenge 2020. - Alicia Lozano-Diez; Anna Silnova; Bhargav Pulugundla; Johan Rohdin; Karel Veselý; Lukás Burget; Oldrich Plchot; Ondrej Glembek; Ondrej Novotný; Pavel Matejka (INTERSPEECH, 2020)

Analysis of ABC Submission to NIST SRE 2019 CMN and VAST Challenge. - Jahangir Alam 001; Gilles Boulianne; Lukás Burget; Mohamed Dahmane; Mireia Díez Sánchez; Alicia Lozano-Diez; Ondrej Glembek; Pierre-Luc St-Charles; Marc Lalonde; Pavel Matejka; Petr Mizera; João Monteiro 002; et al. (Odyssey, 2020)

A Deep Learning Approach for Robust Detection of Bots in Twitter Using Transformers. - David Martín-Gutiérrez; Gustavo Hernández-Peñaloza; Alberto Belmonte-Hernández; Alicia Lozano-Diez; Federico Álvarez (IEEE Access, 2021)

Efficient Transformers for End-to-End Neural Speaker Diarization. - Sergio Izquierdo del Alamo; Beltrán Labrador; Alicia Lozano-Diez; Doroteo T. Toledano (IberSPEECH, 2022)

From Simulated Mixtures to Simulated Conversations as Training Data for End-to-End Neural Diarization. - Federico Landini; Alicia Lozano-Diez; Mireia Díez; Lukás Burget (INTERSPEECH, 2022)

Multi-Speaker and Wide-Band Simulated Conversations as Training Data for End-to-End Neural Diarization. - Federico Landini; Mireia Díez; Alicia Lozano-Diez; Lukás Burget (ICASSP, 2023)

Personalizing Keyword Spotting with Speaker Information. - Beltrán Labrador; Pai Zhu; Guanlong Zhao; Angelo Scorza Scarpati; Quan Wang; Alicia Lozano-Diez; Alex Park 001; Ignacio López-Moreno (CoRR, 2023)

Leveraging Speaker Embeddings in End-to-End Neural Diarization for Two-Speaker Scenarios. - Juan Ignacio Álvarez-Trejos; Beltrán Labrador; Alicia Lozano-Diez (Odyssey, 2024)

Voxceleb-ESP: preliminary experiments detecting Spanish celebrities from their voices. - Beltrán Labrador; Manuel Otero-Gonzalez; Alicia Lozano-Diez; Daniel Ramos-Castro; Doroteo T. Toledano; Joaquin Gonzalez-Rodriguez (CoRR, 2024)

Personalizing Keyword Spotting with Speaker Information. - Beltrán Labrador; Pai Zhu; Guanlong Zhao; Angelo Scorza Scarpati; Quan Wang; Alicia Lozano-Diez; Ignacio López-Moreno (ICASSP, 2025)

Exploring Large Protein Language Models in Constrained Evaluation Scenarios within the FLIP Benchmark. - Manuel F. Mollon; Joaquin Gonzalez-Rodriguez; Alicia Lozano-Diez; Daniel Ramos-Castro; Doroteo T. Toledano (CoRR, 2025)