Speech analysis for health: Current state-of-the-art and the increasing impact of deep learning.

@article{Cummins2018SpeechAF,
  title={Speech analysis for health: Current state-of-the-art and the increasing impact of deep learning.},
  author={Nicholas Cummins and Alice Baird and Bj{\"o}rn W. Schuller},
  journal={Methods},
  year={2018},
  volume={151},
  pages={
          41-54
        }
}
Due to the complex and intricate nature associated with their production, the acoustic-prosodic properties of a speech signal are modulated with a range of health related effects. There is an active and growing area of machine learning research in this speech and health domain, focusing on developing paradigms to objectively extract and measure such effects. Concurrently, deep learning is transforming intelligent signal analysis, such that machines are now reaching near human capabilities in a… CONTINUE READING
BETA

Similar Papers

Citations

Publications citing this paper.