Multi-class Detection of Pathological Speech with Latent Features: How does it perform on unseen data?. Wagner, D., Baumann, I., Braun, F., Bayerl, S. P., Nöth, E., Riedhammer, K., & Bocklet, T. CoRR, 2022.
Multi-class Detection of Pathological Speech with Latent Features: How does it perform on unseen data? [link]Link  Multi-class Detection of Pathological Speech with Latent Features: How does it perform on unseen data? [link]Paper  bibtex   
@article{journals/corr/abs-2210-15336,
  added-at = {2024-10-06T00:00:00.000+0200},
  author = {Wagner, Dominik and Baumann, Ilja and Braun, Franziska and Bayerl, Sebastian P. and Nöth, Elmar and Riedhammer, Korbinian and Bocklet, Tobias},
  biburl = {https://www.bibsonomy.org/bibtex/2abaea2e7917b9fc09160718717c87aaf/dblp},
  ee = {https://doi.org/10.48550/arXiv.2210.15336},
  interhash = {bae01d3b0d49b91c90514fa3fbdd8d43},
  intrahash = {abaea2e7917b9fc09160718717c87aaf},
  journal = {CoRR},
  keywords = {dblp},
  timestamp = {2024-10-07T07:39:50.000+0200},
  title = {Multi-class Detection of Pathological Speech with Latent Features: How does it perform on unseen data?},
  url = {http://dblp.uni-trier.de/db/journals/corr/corr2210.html#abs-2210-15336},
  volume = {abs/2210.15336},
  year = 2022
}

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