International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA 1999)
The recognition and training algorithms for autoregressive hidden Markov models were developed in order to solve the task of vocal fold pathology detection. Three databases were created and used for 3 vocal pathologies detection. During the experiments the proposed vocal tract pathology detection system based on autoregressive hidden Markov models and wide-range AFT mel-spectrum provides very high detection accuracy.
Bibliographic reference. Bovbel, Evgeny I. / Tkachova, Polina P. / Kheidorov, Igor E. (1999): "Autoregressive hidden Markov model for applied tasks of vocal fold pathology detection", In MAVEBA-1999, 108-111.