A Pattern Recognition Approach to Spasmodic Dysphonia and Muscle Tension Dysphonia Automatic Classification

Journal of Voice

Volumn 24, Issue 3, 2010, Pages 346-353

  Schlotthauer, Gastón ^a   Torres, María Eugenia ^a   Jackson Menaldi, María Cristina ^b,c  

^a UNIVERSIDAD NACIONAL DE ENTRE RÍOS   (Argentina)

^b Nose and Throat Center   (United States)

^c WAYNE STATE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Muscle tension dysphonia; Neural networks; Spasmodic dysphonia; Support vector machines

Indexed keywords

BOTULINUM TOXIN A;

ACOUSTICS; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLINICAL ARTICLE; CONTROLLED STUDY; DIFFERENTIAL DIAGNOSIS; DISEASE CLASSIFICATION; DYSPHONIA; HUMAN; MUSCLE DYSTONIA DYSPHONIA; NEUROLOGIC DISEASE; SPASMODIC DYSPHONIA; SUPPORT VECTOR MACHINE; VOICE; VOWEL;

ALGORITHMS; AUTOMATION; DIAGNOSIS, COMPUTER-ASSISTED; DIAGNOSIS, DIFFERENTIAL; DYSPHONIA; HUMANS; MUSCLE TONUS; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; PHONATION; SPEECH ACOUSTICS;

EID: 77951879500     PISSN: 08921997     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jvoice.2008.10.007     Document Type: Article

References (40)

1. Krischke S., Weigelt S., Hoppe U., Köllner V., Klotz M., Eysholdt U., and Rosanowski F. Quality of life in dysphonic patients. J Voice 19 (2005) 132-137
2. Barkmeier J.M., Case J.L., and Ludlow C.L. Identification of symptoms for spasmodic dysphonia and vocal tremor: a comparison of expert and nonexpert judges. J Commun Disord 34 (2001) 21-37
3. Jackson-Menaldi C. La voz patológica. Buenos Aires, Argentina: Editorial Médica Panamericana; 2002. (In Spanish).
4. Schwartz J.S., Song P., and Blitzer A. Spasmodic dysphonia. In: Cooper G. (Ed). Therapeutic Uses of Botulim Toxin (2007), Humana Press, Totowa, New Jersey 109-121
5. Konkiewitz C.E., Trender-Gerhard I., Kamm C., et al. Service-based survey of dystonia in Munich. Neuroepidemiology 21 (2002) 202-206
6. Duffy J., Yorkston K., Beukelman D., et al. Medical Interventions for Spasmodic Dysphonia & Some Related Conditions: A Systematic Review (2001), Academy of Neurologic Communication Disorders and Sciences, Minneapolis, MN Technical Report 2
7. Deems D.A., and Sataloff R.T. Spasmodic dysphonia. In: Sataloff R.T. (Ed). Professional Voice. The Science and Art Clinical Care. 2nd ed. (1997), Singular Publishing Group, San Diego 499-505
8. Case J.L. Clinical Management of Voice Disorders (1996), Pro-Ed, Austin, TX
9. Inamura R., and Tsuji D.H. Adduction spasmodic dysphonia, vocal tremor and muscular tension dysphonia: it is possible to reach a differential diagnosis?. Braz J Otorhinolaryngol 72 (2006) 434
10. Barkmeier J.M., and Case J.L. Differential diagnosis of adductor-type spasmodic dysphonia, vocal tremor and muscle tension dysphonia. Speech therapy and rehabilitation. Curr Opin Otolaryngol Head Neck Surg 8 (2000) 174-179
11. In: Verdolini K., Rosen C.A., and Branski R.C. (Eds). Special Interest Division 3. Voice and Voice Disorders. American Speech-Language-Hearing Association, Classification Manual for Voice Disorders-I (2006), Lawrence Erlbaum Associates, Inc, Mahwah, NJ
12. Roy N., Mauszycki S.C., Merrill R.M., Gouse M., and Smith M.E. Toward improved differential diagnosis of adductor spasmodic dysphonia and muscle tension dysphonia. Folia Phoniatr Logop 59 (2007) 83-90
13. Roy R., Gouse M., Mauszycki S.C., Merrill R.M., and Smith M.E. Task specificity in adductor spasmodic dysphonia versus muscle tension dysphonia. Laryngoscope 115 (2005) 311-316
14. Baken R.J., and Orlikoff R.F. Clinical Measurement of Speech and Voice. 2nd ed (2000), Singular Thomson Learning, San Diego, CA
15. Rees C.J., Blalock D., Kemp S.E., Halum S.L., and Koufman J.A. Differentiation of adductor-type spasmodic dysphonia from muscle tension dysphonia by spectral analysis. Otolaryngol Head Neck Surg 137 (2007) 576-581
16. Cannito M.P., and Woodson G. The spasmodic dysphonias. In: Kent R., and Ball M. (Eds). Voice Quality Measurement (2000), Singular Thomson Learning, San Diego, CA 411-430
17. Ludlow C.L. Management of the spasmodic dysphonias. In: Rubin J.S., Sataloff R.T., Korovin G., and Gould W.J. (Eds). Diagnosis and Treatment of Voice Disorders (1995), Igaku-Shoin, New York, NY 436-454
18. Boyanov B., and Hadjitodorov S. Acoustic analysis of pathological voices. IEEE Eng Med Biol Mag 16 (1997) 74-82
19. Hansen J.H.L., Gavidia-Ceballos L., and Kaiser J.F. A nonlinear operator-based speech feature analysis method with application to vocal fold pathology assessment. IEEE Trans Biomed Eng 45 (1998) 300-313
20. de Oliveira Rosa M., Pereira J.C., and Grellet M. Adaptive estimation of residue signal for voice pathology diagnosis. IEEE Trans Biomed Eng 47 (2000) 96-104
21. Ritchings R.T., McGillion M., and Moore C.J. Pathological voice quality assessment using artificial neural networks. Med Eng Phys 24 (2002) 561-564
22. Godino-Llorente J.I., and Gómez-Vilda P. Automatic detection of voice impairments by means of short-term cepstral parameters and neural network based detectors. IEEE Trans Biomed Eng 51 (2004) 380-384
23. Umapathy K., Krishnan S., Parsa V., and Jamieson D.G. Discrimination of pathological voices using a time-frequency approach. IEEE Trans Biomed Eng 52 (2005) 421-430
24. Moran R.J., Reilly R.B., de Chazal P., and Lacy P.D. Telephony-based voice pathology assessment using automated speech analysis. IEEE Trans Biomed Eng 53 (2006) 468-477
25. Parsa V., and Jamieson D.G. Acoustic discrimination of pathological voice: sustained vowels versus continuous speech. J Speech Lang Hear Res 44 (2001) 327-339
26. Duda R.O., Hart P.E., and Stork D.G. Pattern Classification. 2nd ed. (2001), Wiley, New York
27. Hu Y.H., and Hwang J.N. Handbook of Neural Network Signal Processing (2002), CRC Press, Boca Raton, FL
28. Vapnik V.N. The Nature of Statistical Learning Theory (1995), Springer-Verlag, New York
29. Lilliefors H.W. On the Komogorov-Smirnov test for normality with mean and variance unknown. J Am Stat Assoc 62 (1967) 399-402
30. Lachenbruch P., and Mickey R. Estimation of error rates in discriminant analysis. Technometrics 10 (1968) 1-11
31. Parsa V., and Jamieson D.G. A comparison of high precision F0 extraction algorithms for sustained vowels. J Speech Lang Hear Res 42 (1999) 112-126
32. de Krom G. A cepstrum-based technique for determining a harmonic-to-noise ratio in speech signals. J Speech Lang Hear Res 36 (1993) 254-266
33. Cannito M.P., Buder E.H., and Chorna L.B. Spectral amplitude measures of adductor spasmodic dysphonic speech. J Voice 19 (2005) 391-410
34. Bishop C.M. Neural Networks for Pattern Recognition (1995), Clarendon, Oxford, UK
35. Demuth H., and Beale M. Neural Network Toolbox for Use with MATLAB (2004), The MathWorks Inc, Natick, MA
36. Riedmiller M., and Braun H. A direct adaptive method for faster backpropagation learning: the RPROP algorithm. Proceedings of the IEEE International Conference on Neural Networks (1993) IEEE, USA:586-591
37. Cristianini N., and Shawe-Taylor J. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods (2000), Cambridge University Press, Cambridge, UK
38. Kulkarni S.R., Lugosi G., and Venkatesh S.S. Learning pattern classification-a survey. IEEE Trans Inf Theory 44 (1998) 2178-2206
39. Cortes C., and Vapnik V. Support vector networks. Mach Learn 20 (1995) 273-297
40. Rafter J.A., Abell M.L., and Braselton J.P. Multiple comparison methods for means. SIAM Rev 44 (2002) 259-278