Publicaciones del proyecto BioVoz


Revistas


  1. Alejandro Gómez-Alanís, Jose A. Gonzalez-Lopez, Antonio M. Peinado: “GANBA: Generative Adversarial Network for Biometric Anti-Spoofing”. MDPI Applied Sciences, vol. 12(3), 2022. DOI: 10.3390/app12031454. IF(2020)=2.679. Q2.

Congresos


  1.  Eros Rosello, Alejandro Gomez-Alanis, Manuel Chica, Angel M. Gomez, Jose A. Gonzalez and Antonio M. Peinado: “On the application of conformers to logical access voice spoofing attack detection”. Proc. of IberSPEECH’2022, ISCA Archive, Nov. 2022.

  2. Manuel Chica, Alejandro Gomez-Alanis, Eros Rosello, Angel M. Gomez, Jose A. Gonzalez and Antonio M. Peinado: “Database dependence comparison in detection of physical access voice spoofing attacks”. Proc. of IberSPEECH’2022, ISCA Archive, Nov. 2022.

  3. Alejandro Gomez-Alanis, Jose Andres Gonzalez-Lopez and Antonio Miguel Peinado Herreros: “Voice Biometric Systems based on Deep Neural Networks: A Ph.D. Thesis Overview”. Proc. Of IberSPEECH’2022, ISCA Archive, Nov. 2022.

  4. Antonio M. Peinado, Alejandro Gomez-Alanis, Jose Andres Gonzalez-Lopez, Angel M. Gomez, Eros Rosello, Manuel Chica-Villar, Jose C. Sanchez-Valera, Jose L. Perez-Cordoba and Victoria Sanchez: “The BioVoz Project: Secure Speech Biometrics by Deep Processing Techniques”. Proc. of IberSPEECH’2022, ISCA Archive, Nov. 2022.

  5. Eros Rosello, Alejandro Gomez-Alanis, Angel M. Gomez, Antonio Peinado: “A conformer-based classifier for variable-length utterance processing in anti-spoofing". Proc. of InterSpeech 2023, Dublin, Aug 2023.

Tesis

  • Nombre: Alejandro Gómez Alanís (defendida el 21/1/2022)
  • Directores: Antonio M. Peinado Herreros / José Andrés González López
  • Título: Sistemas Robustos de Verificación de Locutores basados en Redes Neuronales Profundas
  • Organismo: Universidad de Granada

Trabajos previos del equipo de investigación en la temática del proyecto


  •  Revistas JCR
    • Alejandro Gómez-Alanís, Antonio M. Peinado, Jose A. González, Angel M. Gómez: “A Gated Recurrent Convolutional Neural Network for Robust Spoofing Detection”. IEEE Trans. On Audio Speech and Language Processing, vol. 27, no. 12, pp. 1985-1999, Dec. 2019. DOI: https://doi.org/10.1109/TASLP.2019.2937413. IF=3.398, Q1.
    •  Alejandro Gómez-Alanís, Jose A. González, Antonio M. Peinado: “A Kernel Density Estimation Based Loss Function and Its Application to ASV-Spoofing Detection”, IEEE Access, vol. 8, pp. 108530 – 108543, June 2020. DOI: https://doi.org/10.1109/ACCESS.2020.3000641. IF=3.367. Q2.
    • Alejandro Gómez-Alanís, Jose A. Gonzalez-Lopez, S. Pavankumar Dubagunta, Antonio M. Peinado, Mathew Magimai-Doss: “On Joint Optimization of Automatic Speaker Verification and Anti-spoofing in the Embedding Space”. IEEE Transactions on Information Forensics and Security, vol. 16, pp. 1579-1593, 2021. DOI: 10.1109/TIFS.2020.3039045. IF(2020)=7.178. Q1(D1)


  • Congresos
    • Alejandro Gómez-Alanís, Antonio M. Peinado, Jose A. Gonzalez, and Ángel M. Gómez: “A Deep Identity Representation for Noise Robust Spoofing Detection”. Proceedings of InterSpeech’2018, 2-6 September, Hyderabad, India.
    • Alejandro Gómez-Alanís, Antonio M. Peinado, Jose A. Gonzalez, and Ángel M. Gómez: “Performance evaluation of front- and back-end techniques for ASV spoofing detection systems based on deep features”. Proc. of IberSPEECH 2018, Barcelona, Spain, November 21-23, 2018.
    •  Alejandro Gómez Alanís, Antonio M. Peinado, Jose A. González and Ángel M. Gómez: “A Light Convolutional GRU-RNN Deep Feature Extractor for ASV Spoofing Detection”. Proceedings of Interspeech’2019, September 15-19, Graz, Austria.
    •  Alejandro Gomez-Alanis, Jose A. Gonzalez and Antonio M. Peinado: “Adversarial Transformation of Spoofing Attacks for Voice Biometrics”. Proc. of IberSPEECH 2020, Valladolid, Spain, March 24-25, 2020.
    •  Madhu Kamble, Jose Andres Gonzalez-Lopez, Teresa Grau, Juan Espin, Lorenzo Cascioli, Yiqing Huang, Alejandro Gomez Alanis, Jose Patino, Roberto Javier Font Ruiz, Antonio M. Peinado, Angel Gomez, Nicholas Evans, Maria A. Zuluaga and Massimiliano Todisco: “PANACEA cough sound-based diagnosis of COVID-19 for the DiCOVA 2021 Challenge”, Proc. Of Interspeech 2021, Aug 30 – Sep 3, 2021, Brno, Czechia.

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