Published November 22, 2019 | Version 1.0
Dataset Open

GRB assessment of the Saarbrücken Voice Database

Authors/Creators

  • 1. Universidad de Antioquia, Medellín
  • 2. Universidad Politécnica de Madrid, Spain
  • 3. ROR icon Universidad Politécnica de Madrid

Description

GRB evaluations of the Saarbruecken database. Annex to the paper: Multimodal and multi-output deep learning architectures for the automatic assessment of voice quality using the GRB scale. 

Published in IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, VOL. 14, NO. 2, FEBRUARY 2020: DOI: 10.1109/JSTSP.2019.2956410 
 

If you use these labels please cite as:

J. D. Arias-Londoño, J. A. Gómez-García and J. I. Godino-Llorente, "Multimodal and Multi-Output Deep Learning Architectures for the Automatic Assessment of Voice Quality Using the GRB Scale," in IEEE Journal of Selected Topics in Signal Processing, vol. 14, no. 2, pp. 413-422, Feb. 2020.

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Additional details

References

  • J. D. Arias-Londono, J. A. Gomez-Garcia and J. I. Godino, "Multimodal and multi-output deep learning architectures for the automatic assessment of voice quality using the GRB scale," in IEEE Journal of Selected Topics in Signal Processing. doi: 10.1109/JSTSP.2019.2956410