Automatic dysphonia recognition using biologically-inspired amplitude-modulation features

@article{Malyska2005AutomaticDR,
  title={Automatic dysphonia recognition using biologically-inspired amplitude-modulation features},
  author={Nicolas Malyska and Thomas F. Quatieri and Douglas E. Sturim},
  journal={Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.},
  year={2005},
  volume={1},
  pages={I/873-I/876 Vol. 1}
}
A dysphonia, or disorder of the mechanisms of phonation in the larynx, can create time-varying amplitude fluctuations in the voice. A model for band-dependent analysis of this amplitude modulation (AM) phenomenon in dysphonic speech is developed from a traditional communications engineering perspective. This perspective challenges current dysphonia analysis… CONTINUE READING

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