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Selected Publications

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  • Selected Publications
  • Generating virtual scenarios of multivariate financial data for quantitative trading applications, by J. Franco-Pedroso, J. Gonzalez-Rodriguez, J. Cubero, M. Planas, R. Cobo and F. Pablos, arXiv preprint arXiv:1802.01861, February 2018.
  • Deconstructing Cross-Entropy for Probabilistic Binary Classifiers, by D. Ramos, J. Franco-Pedroso, A. Lozano-Diez and J. Gonzalez-Rodriguez, Entropy (ISSN 1099-4300), Vol. 20, n. 3, pp. 208, March 2018.
  • Age Estimation in Short Speech Utterances based on LSTM Recurrent Neural Networks, by R. Zazo, P. S. Nidadavolu, N. Chen, J. Gonzalez-Rodriguez and N. Dehak, IEEE Access, March 2018.
  • ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluation, by J. Tejedor, D. T. Toledano, P. Lopez-Otero, L. Docio-Fernandez, J. P. a. Perdigao, F. Garcia-Granada, E. Sanchis, A. Pompili and A. Abad, EURASIP Journal on Audio, Speech, and Music Processing, Springer, 2018:2, December 2018.
  • Multi-resolution speech analysis for automatic speech recognition using deep neural networks: Experiments on TIMIT, by D.T. Toledano, M.P. Fernandez-Gallego and A. Lozano-Diez, PLoS ONE, Public Library of Science, Vol. 13, n. 10, e0205355, October 2018.
  • A guideline for the validation of likelihood ratio methods used for forensic evidence evaluation, by D. Meuwly, D. Ramos and R. Haraksim, Forensic Science International, Elsevier, Vol. 276, pp. 142-153, July 2017.
  • An Analysis of the Influence of Deep Neural Network (DNN) Topology in Bottleneck Feature based Language Recognition, by A. Lozano-Diez, R. Zazo, D. T. Toledano and J. Gonzalez-Rodriguez, PLoS ONE, Public Library of Science, Vol. 12, n. 8, pp. e0182580, August 2017.
  • On the use of deep feedforward neural networks for automatic language identification, by I. Lopez-Moreno, J. Gonzalez-Dominguez, D. Martinez, O. Plchot, J. Gonzalez-Rodriguez and P. J. Moreno, Computer Speech and Language, Elsevier, Vol. 40, pp. 46-59, May 2016.
  • Linguistically-constrained formant-based i-vectors for automatic speaker recognition, by J. Franco-Pedroso and J. Gonzalez-Rodriguez, Speech Communication, Elsevier Science Publishers B. V., Vol. 76, pp. 61-81, February 2016.
  • Language Identification in Short Utterances Using Long Short-Term Memory (LSTM) Recurrent Neural Networks, by R. Zazo, A. Lozano-Diez, J. Gonzalez-Dominguez, D. T. Toledano and J. Gonzalez-Rodriguez, PloS ONE, Public Library of Science, January 2016.
  • Frame-by-frame language identification in short utterances using deep neural networks, by J. Gonzalez-Dominguez, I. Lopez-Moreno, P. J. Moreno and J. Gonzalez-Rodriguez, Neural Networks, Elsevier, Vol. 64, pp. 49-58, September 2014.

AUDIAS Seminars

Joint Automatic Speech Recognition And Structure. Learning For Better Speech Understanding

January 29, 2025

Speaker: María Pilar Fernández Gallego. Abstract: Spoken language understanding (SLU)…

A Whisper-based Query-by-Example Spoken Term Detection approach for search on speech

January 22, 2025

Speaker: Javier Tejedor Noguerales. Abstract: Nowadays, in the digital era,…

News & Events

Alicia Lozano-Diez selected for a MSCA grant for an intership at MIT

April 14, 2023

AUDIAS PhD Students hired!

February 2, 2023

About AUDIAS

AUDIAS is a solid research group addressing challenging problems in speech, audio and temporal signals from deep foundations in machine learning and signal processing.

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Highlights

DeepMUSE Research Project granted to AUDIAS

June 24, 2022

Sergio Álvarez Balanya selected for an intership in Amazon

April 23, 2022
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