Pathological assessment of patients’ speech signals using nonlinear dynamical analysis

Author:

Vaziri Ghazaleh,Almasganj Farshad,Behroozmand Roozbeh

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference40 articles.

1. Stroboscopic method for detecting complex dynamics in disordered speech;Little;IEEE Transactions on Biomedical Engineering,2006

2. J.D. Nayak, P.S. Bhat, Identification of voice disorders using speech samples, TENCON 2003, in: Conference on Convergent Technologies for Asia-Pacific Region, IEEE, vol. 3, October 2003, pp. 951–995.

3. C.E. Martinez, H.L. Rufiner, Acoustic analysis of speech for detection of laryngeal pathologies, in: Proceedings of the 22nd Annual EMBS International Conference, vol. 3, Chicago, 23–28 July 2000, pp. 2369–2372.

4. R. Behroozmand, F. Almasganj, M.H. Moradi, Pathological assessment of vocal fold nodules and polyp using acoustic perturbation and phase space features, in: Proceedings of the 2006 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), vol. 2, 14–19, 2006, pp. 1056–1059.

5. A.A. Dibazar, S. Narayanan, T.W. Berger, Feature analysis for automatic detection of pathological speech, [Engineering in Medicine and Biology, 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] EMBS/BMES Conference, in: Proceedings of the Second Joint, vol. 1, Houston, USA, 23–26 October, 2002, pp. 182–183.

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