Deep Learning Meets Private Talk: Conversational AI Can Predict Speaker Traits by Eavesdropping for Only 30 Seconds

Andreas Liesenfeld, Gábor Parti, Chu-Ren Huang. Deep Learning Meets Private Talk: Conversational AI Can Predict Speaker Traits by Eavesdropping for Only 30 Seconds. In Stefan Schneegass, Bastian Pfleging, Dagmar Kern, editors, MuC '21: Mensch und Computer 2021, Ingolstadt, Germany, September 5-8, 2021. pages 547-551, ACM, 2021. [doi]

@inproceedings{LiesenfeldPH21-0,
  title = {Deep Learning Meets Private Talk: Conversational AI Can Predict Speaker Traits by Eavesdropping for Only 30 Seconds},
  author = {Andreas Liesenfeld and Gábor Parti and Chu-Ren Huang},
  year = {2021},
  doi = {10.1145/3473856.3474012},
  url = {https://doi.org/10.1145/3473856.3474012},
  researchr = {https://researchr.org/publication/LiesenfeldPH21-0},
  cites = {0},
  citedby = {0},
  pages = {547-551},
  booktitle = {MuC '21: Mensch und Computer 2021, Ingolstadt, Germany, September 5-8, 2021},
  editor = {Stefan Schneegass and Bastian Pfleging and Dagmar Kern},
  publisher = {ACM},
  isbn = {978-1-4503-8645-6},
}