Probabilistic acoustic volume analysis for speech affected by depression

  title={Probabilistic acoustic volume analysis for speech affected by depression},
  author={Nicholas Cummins and Vidhyasaharan Sethu and Julien Epps and Jarek Krajewski},
Alterations in speech motor control in depressed individuals have been found to manifest as a reduction in spectral variability. In this paper we present a novel method for measuring acoustic volume a model-based measure that is reflective of this decrease in spectral variability and assess the ability of features resulting from this measure for indexing a speaker’s level of depression. A Monte Carlo approximation that enables the computation of this measure is also outlined in this paper… CONTINUE READING