An Investigation of Depressed Speech Detection: Features and Normalization

@inproceedings{Cummins2011AnIO,
  title={An Investigation of Depressed Speech Detection: Features and Normalization},
  author={Nicholas Cummins and Julien Epps and Michael Breakspear and Roland Goecke},
  booktitle={INTERSPEECH},
  year={2011}
}
In recent years, the problem of automatic detection of mental illness from the speech signal has gained some initial interest, however questions remaining include how speech segments should be selected, what features provide good discrimination, and what benefits feature normalization might bring given the speaker-specific nature of mental disorders. In this paper, these questions are addressed empirically using classifier configurations employed in emotion recognition from speech, evaluated on… CONTINUE READING

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