Analysis by Synthesis: Using an Expressive TTS Model as Feature Extractor for Paralinguistic Speech Classification

Dominik Schiller, Silvan Mertes, Pol van Rijn, Elisabeth André. Analysis by Synthesis: Using an Expressive TTS Model as Feature Extractor for Paralinguistic Speech Classification. In Hynek Hermansky, Honza Cernocký, Lukás Burget, Lori Lamel, Odette Scharenborg, Petr Motlícek, editors, Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August - 3 September 2021. pages 486-490, ISCA, 2021. [doi]

@inproceedings{SchillerMRA21,
  title = {Analysis by Synthesis: Using an Expressive TTS Model as Feature Extractor for Paralinguistic Speech Classification},
  author = {Dominik Schiller and Silvan Mertes and Pol van Rijn and Elisabeth André},
  year = {2021},
  doi = {10.21437/Interspeech.2021-1587},
  url = {https://doi.org/10.21437/Interspeech.2021-1587},
  researchr = {https://researchr.org/publication/SchillerMRA21},
  cites = {0},
  citedby = {0},
  pages = {486-490},
  booktitle = {Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August - 3 September 2021},
  editor = {Hynek Hermansky and Honza Cernocký and Lukás Burget and Lori Lamel and Odette Scharenborg and Petr Motlícek},
  publisher = {ISCA},
}