Lozano Diez, Alicia alicia.lozano@uam.es

Actividades

Validations of an alpha version of the E3 Forensic Speech Science System (E3FS3) core software tools

  • Weber P
  • Enzinger E
  • Labrador B
  • Lozano-Díez A
  • Ramos D
  • González-Rodríguez J
  • Morrison GS
... Ver más Contraer

Forensic Science International: Synergy - 1/1/2022

10.1016/j.fsisyn.2022.100223 Ver en origen

  • ISSN 2589871X

A Deep Learning Approach for Robust Detection of Bots in Twitter using Transformers

  • Martin-Gutierrez, David
  • Hernandez-Penaloza, Gustavo
  • Belmonte Hernandez, Alberto
  • Lozano-Diez, Alicia
  • Alvarez, Federico

Ieee Access (p. 54591-54601) - 1/1/2021

10.1109/access.2021.3068659 Ver en origen

  • ISSN 21693536

Exploring convolutional, recurrent, and hybrid deep neural networks for speech and music detection in a large audio dataset

  • de Benito-Gorron, Diego
  • Lozano-Diez, Alicia
  • Toledano, Doroteo T.
  • Gonzalez-Rodriguez, Joaquin;

EURASIP Journal on Audio Speech and Music Processing - 1/12/2019

10.1186/s13636-019-0152-1 Ver en origen

  • ISSN 16874714

Deconstructing Cross-Entropy for Probabilistic Binary Classifiers

  • Ramos, Daniel
  • Franco-Pedroso, Javier
  • Lozano-Diez, Alicia
  • Gonzalez-Rodriguez, Joaquin;

Entropy - 1/3/2018

10.3390/e20030208 Ver en origen

  • ISSN 10994300

Multi-resolution speech analysis for automatic speech recognition using deep neural networks: Experiments on TIMIT

  • Toledano D
  • Fernández-Gallego M
  • Lozano-Diez A

Plos One - 1/10/2018

10.1371/journal.pone.0205355 Ver en origen

  • ISSN 19326203

An analysis of the influence of deep neural network (DNN) topology in bottleneck feature based language recognition

  • Lozano-Diez A
  • Zazo R
  • Toledano D
  • Gonzalez-Rodriguez J

PLoS ONE - 1/8/2017

10.1371/journal.pone.0182580 Ver en origen

  • ISSN 19326203

Language Identification in Short Utterances Using Long Short-Term Memory (LSTM) Recurrent Neural Networks

  • Zazo, Ruben
  • Lozano-Diez, Alicia
  • Gonzalez-Dominguez, Javier
  • Toledano, Doroteo T.
  • Gonzalez-Rodriguez, Joaquin;

PLoS ONE - 1/1/2016

10.1371/journal.pone.0146917 Ver en origen

  • ISSN 19326203

Este/a investigador/a no tiene libros.

Forensic voice comparison–human-supervised-automatic approach

  • GS Morrison
  • P Weber
  • E Enzinger
  • B Labrador
  • A Lozano-Díez
  • D Ramos
  • Gonzalez-Rodriguez, J.
... Ver más Contraer

Encyclopedia Of Forensic Sciences: Volume 1-4, Third Edition (p. 720-736) - 1/1/2022

10.1016/b978-0-12-823677-2.00182-3 Ver en origen

Fundamentals of voice biometrics: Classical and machine learning approaches

  • Lozano-Diez A
  • Gonzalez-Rodriguez J
  • Ramos D
  • Toledano DT

Voice Biometrics: Technology, Trust And Security (p. 7-38) - 1/1/2021

10.1049/pbse012e_ch2 Ver en origen

Statistical Models in Forensic Voice Comparison

  • Morrison Geoffrey, S.
  • Ewald, E.
  • Ramos, D.
  • González-Rodríguez, J.
  • Lozano-Díez, A.

Handbook Of Forensic Statistics (p. 451-497) - 6/11/2020

https://doi.org/10.1201/9780367527709 Ver en origen

Multi-Speaker and Wide-Band Simulated Conversations as Training Data for End-to-End Neural Diarization

  • Federico Landini
  • Mireia Diez
  • Alicia Lozano-Diez
  • Lukáš Burget

Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings (p. 1-5) - 5/5/2023

10.1109/icassp49357.2023.10097049 Ver en origen

  • ISSN 15206149

Efficient Transformers for End-to-End Neural Speaker Diarization

  • Izquierdo del Álamo, S.
  • Labrador, B.
  • Lozano-Díez, A.
  • Toledano, D.T.

Proc. Iberspeech 2022 (p. 156-160) - 13/11/2022

10.21437/iberspeech.2022-32 Ver en origen

From Simulated Mixtures to Simulated Conversations as Training Data for End-to-End Neural Diarization

  • Landini F
  • Lozano-Diez A
  • Diez M
  • Burget L

Interspeech 2022 (p. 5095-5099) - 1/1/2022

10.21437/interspeech.2022-10451 Ver en origen

BUT text-dependent speaker verification system for SdSV challenge 2020

  • Lozano-Diez A
  • Silnova A
  • Pulugundla B
  • Rohdin J
  • Veselý K
  • Burget L
  • Plchot O
  • Glembek O
  • Novotný O
  • Matejka P
... Ver más Contraer

Proceedings Of The Annual Conference Of The International Speech Communication Association, Interspeech (p. 761-765) - 1/1/2020

10.21437/interspeech.2020-2882 Ver en origen

  • ISSN 19909772

DNN based embeddings for language recognition

  • Lozano-Diez A
  • Plchot O
  • Mat?jka P
  • Gonzalez-Rodriguez J

Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings (p. 5184-5188) - 10/9/2018

10.1109/icassp.2018.8462403 Ver en origen

  • ISSN 15206149

Bottleneck and Embedding Representation of Speech for DNN-based Language and Speaker Recognition

  • Lozano-Diez A
  • Gonzalez-Rodriguez J
  • Gonzalez-Dominguez J

4th International Conference, Iberspeech 2018 (p. 179-183) - 1/1/2018

10.21437/iberspeech.2018-36 Ver en origen

DNN-based Embeddings for Speaker Diarization in the AuDIaS-UAM System for the Albayzin 2018 IberSPEECH-RTVE Evaluation

  • Lozano-Diez A
  • Labrador B
  • de Benito D
  • Ramirez P
  • Toledano DT

4th International Conference, Iberspeech 2018 (p. 224-226) - 1/1/2018

10.21437/iberspeech.2018-46 Ver en origen

Improving robustness of speaker recognition to new conditions using unlabeled data

  • Castán D
  • McLaren M
  • Ferrer L
  • Lawson A
  • Lozano-Diez A

Proceedings Of The Annual Conference Of The International Speech Communication Association, Interspeech (p. 3737-3741) - 1/1/2017

10.21437/interspeech.2017-605 Ver en origen

  • ISSN 19909772

Analysis and Optimization of Bottleneck Features for Speaker Recognition

  • Lozano-Diez A
  • Silnova A
  • Mat?jka P
  • Glembek O
  • Plchot O
  • Pešán J
  • Burget L
  • Gonzalez-Rodriguez J
... Ver más Contraer

Proceedings of Odyssey 2016 (p. 352-357) - 24/6/2016

10.21437/odyssey.2016-51 Ver en origen

Evaluation of an LSTM-RNN system in different NIST language recognition frameworks

  • Zazo R
  • Lozano-Diez A
  • Gonzalez-Rodriguez J

Proceedings of Odyssey 2016 (p. 231-236) - 1/1/2016

10.21437/odyssey.2016-33 Ver en origen

Este/a investigador/a no tiene documentos de trabajo.

Este/a investigador/a no tiene informes técnicos.

Dotación adicional Ayudas para Contratos Predoctorales para la formación de Doctores

  • Alicia Lozano Diez (Investigador principal (IP))

Ejecución: 01-01-2014 - 31-12-2017

  • iMarina

Este/a investigador/a no tiene tesis dirigidas.

Este/a investigador/a no tiene patentes o licencias de software.

Última actualización de los datos: 1/12/24 7:11