Prosodic, Spectral and Voice Quality Feature Selection Using a Long-Term Stopping Criterion for Audio-Based Emotion Recognition

Markus Kächele, Dimitri Zharkov, Sascha Meudt, Friedhelm Schwenker. Prosodic, Spectral and Voice Quality Feature Selection Using a Long-Term Stopping Criterion for Audio-Based Emotion Recognition. In 22nd International Conference on Pattern Recognition, ICPR 2014, Stockholm, Sweden, August 24-28, 2014. pages 803-808, IEEE, 2014. [doi]

@inproceedings{KacheleZMS14,
  title = {Prosodic, Spectral and Voice Quality Feature Selection Using a Long-Term Stopping Criterion for Audio-Based Emotion Recognition},
  author = {Markus Kächele and Dimitri Zharkov and Sascha Meudt and Friedhelm Schwenker},
  year = {2014},
  doi = {10.1109/ICPR.2014.148},
  url = {http://dx.doi.org/10.1109/ICPR.2014.148},
  researchr = {https://researchr.org/publication/KacheleZMS14},
  cites = {0},
  citedby = {0},
  pages = {803-808},
  booktitle = {22nd International Conference on Pattern Recognition, ICPR 2014, Stockholm, Sweden, August 24-28, 2014},
  publisher = {IEEE},
  isbn = {978-1-4799-5208-3},
}