A Neural Network Based Approach to Objective Voice Quality Assessment

Author:

Ritchings R. T.,Conroy G. V.,McGillion M. A.,Moore C. J.,Slevin N.,Winstanley S.,Woods H.

Publisher

Springer London

Reference13 articles.

1. Fourcin AJ, Abberton E, Miller D, Howell D. Laryngograph: Speech pattern element tools for therapy, training and assessment. European Journal of Disorders of Comunication, 1995; 30; 2: 101–115.

2. Moore CJ, Slevin N, Ritchings RT & Chi KY. An approach to objective voice quality assessment for staging and treatment monitoring of cancer of the larynx. World Congress for Medical Physics and Biological Engineering, Nice, France, 1997.

3. Tadeusiewicz R, Wszolek W, Modrzejewski M. The evaluation of speech deformation treated for larynx cancer using neural network and pattern recognition methods. International conference on Engineering Applications of Neural Networks. EANN’98, Gibraltar, 1998.

4. Gavidia-Ceballos L, Hansen JHL. Direct speech feature estimation using an iterative EM algorithm for vocal fold pathology detection. IEEE Trans. on Biomedical Engineering. April 1996; 43; 4: 373–383.

5. Aref A, Dworkin J, Syamala D, Denton L, Fontanesi, J. Objective evaluation of the quality of voice following radiation therapy for T1 glottic cancer. Radiotherapy and Oncology. 1997;45:149–153.

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