An ICA-based method for stress classification from voice samples

@article{Palacios2019AnIM,
  title={An ICA-based method for stress classification from voice samples},
  author={Daniel Palacios and Victoria Rodellar and Carlos L{\'a}zaro and Andr{\'e}s G{\'o}mez and Pedro G{\'o}mez},
  journal={Neural Computing and Applications},
  year={2019},
  pages={1 - 11}
}
Emotion detection is a hot topic nowadays for its potential application to intelligent systems in different fields such as neuromarketing, dialogue systems, friendly robotics, vending platforms and amiable banking. Nevertheless, the lack of a benchmarking standard makes it difficult to compare results produced by different methodologies, which could help the research community improve existing approaches and design new ones. Besides, there is the added problem of accurate dataset production… CONTINUE READING