Speech emotion recognition using nonlinear dynamics features

@inproceedings{Shahzadi2015SpeechER,
  title={Speech emotion recognition using nonlinear dynamics features},
  author={Ali Shahzadi and Alireza Ahmadyfard and Ali Harimi and Khashayar Yaghmaie},
  year={2015}
}
Recent developments in man–machine interaction have motivated researchers to recognize human emotion from speech signals. In this study, we propose using nonlinear dynamics features (NLDs) for emotion recognition. NLDs are extracted from the geometrical properties of the reconstructed phase space of speech signals. The traditional prosodic and spectral features are also used as a benchmark. The Fisher discriminant ratio acts as a filter to remove irrelevant features quickly. Then a wrapper… CONTINUE READING