Glottal Source biometrical signature for voice pathology detection

Speech Communication

Volumn 51, Issue 9, 2009, Pages 759-781

  Gómez Vilda, Pedro ^a   Fernández Baillo, Roberto ^a   Rodellar Biarge, Victoria ^a   Lluis, Víctor Nieto ^a   Álvarez Marquina, Agustín ^a   Mazaira Fernández, Luis Miguel ^a   Martínez Olalla, Rafael ^a   Godino Llorente, Juan Ignacio ^b  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

^b UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

Glottal Source; Speaker biometrical characterization; Speaker's identification; Voice biometry; Voice pathology detection

Indexed keywords

BIOMETRICS; DISCRIMINANT ANALYSIS; GRADING; PATHOLOGY; POWER SPECTRAL DENSITY; SPECTRAL DENSITY;

BIOMETRIC CHARACTERIZATION; DETECTION AND QUANTIFICATIONS; DETECTION EXPERIMENTS; GLOTTAL SOURCE; LINEAR DISCRIMINANT ANALYSIS; PATHOLOGIC CONDITIONS; PERTURBATION PARAMETERS; VOICE PATHOLOGY DETECTION;

SPEECH RECOGNITION;

EID: 67649128537     PISSN: 01676393     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.specom.2008.09.005     Document Type: Article

References (41)

1. Akande O.O., and Murphy P.J. Estimation of the vocal tract transfer function with application to glottal wave analysis. Speech Comm. 46 1 (2005) 1-13
2. Alku, P., 1992. An automatic method to estimate the time-based parameters of the glottal pulseform. In: Proc. ICASSP'92, Vol. 2, pp. 29-32.
3. Alku, P., 2003. Parameterisation methods of the glottal flow estimated by inverse filtering. In: Proc. VOQUAL'03, pp. 81-87.
4. Arroabarren, I., Carlosena, A., 2003. Glottal source parameterization: a comparative study. In: Proc. VOQUAL'03, pp. 29-34.
5. Berry D.A. Mechanisms of modal and non-modal phonation. J. Phonetics 29 (2001) 431-450
6. Bimbot F., et al. A tutorial on text-independent speaker verification. Eur. J. Appl. Signal Process. 4 (2004) 430-451
7. Boyanov B., and Hadjitodorov S. Acoustic analysis of pathological voices. IEEE Eng. Med. Biol. (1997) 74-82
8. Deller J.R., Proakis J.G., and Hansen J.H.L. Discrete-Time Processing of Speech Signals (1993), Macmillan, NY
9. De Oliveira Rosa M., Pereira J.C., and Grellet M. Adaptive estimation of residue signal for voice pathology diagnosis. IEEE Trans. Biomed. Eng. 47 1 (2000) 96-104
10. Doval, B., d'Alessandro, C., 2003. The voice source as a causal/anticausal linear filter. In: Proc. VOQUAL'03, pp. 16-20.
11. Fant G. Theory of Speech Production (1960), Mouton, The Hague, Netherlands
12. Fant, G. et al., 2004. A four-parameter model of glottal flow. STL-QSPR 4 (1985), 1-13 (Reprinted in: G. Fant (Ed.), Speech Acoustics and Phonetics: Selected Writings. Kluwer Academic Publishers, Dordrecht, pp. 95-108).
13. Fernández-Baíllo, R. et al., 2007. Pre-post-surgery evaluation based on the profile of the glottal source. In: Proc. MAVEBA'07, Florence, Italy, pp. 65-68.
14. Fernández-Baíllo, R., Gómez, P., 2007. Study of the mucosal wave correlate in non-pathological voice. In: Poster at the VII Pan European Voice Conference, Groningen, The Netherlands, August 29-September 1, p. 94.
15. Godino J.I., and Gómez P. Automatic detection of voice impairments by means of short-term cepstral parameters and neural network based detectors. IEEE Trans. Biomed. Eng. 5 (2004) 1380-1384
16. Godino, J.I., Aguilera, S., Gómez, P., 2001. Automatic detection of voice impairments due to vocal misuse by means of Gaussian Mixture Models. In: Proc. IEEE Engineering, Medicine and Biology Conf., pp. 4253-4258.
17. Godino J.I., Gómez P., and Blanco M. Dimensionality reduction of a pathological voice quality assessment system based on Gaussian Mixture Models and short-term cepstral parameters. IEEE Trans. Biomed. Eng. 53 10 (2006) 1943-1953
18. Gómez, P. et al., 2004. Biomechanical parameter fingerprint in the mucosal wave power spectral density. In: Proc. ICSLP'04, pp. 842-845.
19. Gómez, P. et al., 2005. PCA of perturbation parameters in voice pathology detection. In: Proc. INTERSPEECH'05, pp. 645-648.
20. Gómez P., et al. Voice pathology detection by vocal fold biomechanical parameter estimation. Lect. Notes Comput. Sci. 3817 (2006) 242-256
21. Gómez P., et al. Evaluation of voice pathology based on the estimation of vocal fold biomechanical parameters. J. Voice 21 4 (2007) 450-476
22. Gómez, P. et al., 2007b. Detecting pathology in the glottal spectral signature of female voice. In: Proc. MABEVA'07, Florence, Italy, pp. 183-186.
23. Hadjitodorov S., Boyanov B., and Teston B. Laryngeal pathology detection by means of class-specific neural maps. IEEE Trans. Inform. Technol. Biomed. 4 (2000) 68-73
24. Hirano M., et al. Acoustic analysis of pathological voice. Some results of clinical application. Acta Otolaryngol. 105 5-6 (1988) 432-438
25. Holmberg E.B., et al. Glottal airflow and transglottal air pressure measurements for male and female speakers in soft, normal, and loud voice. J. Acoust. Soc. Am. 84 2 (1988) 511-529
26. Jackson L.B. Non-causal ARMA modeling of voiced speech. IEEE Trans. Acoust. Speech Signal. Proc. 10 37 (1989) 1606-1608
27. Johnson R.A., and Wichern D.W. Applied Multivariate Statistical Analysis (2002), Prentice-Hall, Upper Saddle River, NJ
28. Kuo, J. et al., 1999. Discriminating speakers with vocal nodules using aerodynamic and acoustic features. In: Proc. ICASSP'99, Vol. 1, pp. 77-80.
29. Nickel R.M. Automatic speech character identification. IEEE Circuit Syst. Mag. 6 4 (2006) 8-29
30. Orr, R. et al., 2003. An investigation of the parameters derived from the inverse filtering of flow and microphone signals. In: Proc. VOQUAL'03, pp. 35-40.
31. Parsa V., and Jamieson D.G. Identification of pathological voices using glottal noise measures. J. Speech Language Hear. Res. (2000) 469-485
32. Price P.J. Male and female voice source characteristics: inverse filtering results. Speech Comm. 8 (1989) 261-277
33. Project MAPACI, 2003. .
34. Ritchings T., McGillion M., and Moore C. Pathological voice quality assessment using artificial neural networks. Med. Eng. Phys. 24 8 (2002) 561-564
35. Rodellar V., et al. A numerical method based on Pade's Approximation to simulate and design a low-cost auditory filter for speech processing. Simul.: Pract. Theor. 1 1 (1993) 17-19
36. Ruiz M.T. Gender bias: a polarized view of the human gender. J. Epidemiol. Comm. Health 51 (1997) 106-109
37. Shalvi O., and Weinstein E. New criteria for blind deconvolution of non-minimum phase systems (channels). IEEE Trans. Inform. Theor. 36 (1990) 312-321
38. Story B.H., and Titze I.R. Voice simulation with a bodycover model of the vocal folds. J. Acoust. Soc. Am. 97 (1995) 1249-1260
39. Švec, J.C., Horáček, J., Šram, F., Veselý, J., 2000. Resonance properties of the vocal folds: in vivo laryngoscopic investigation of the externally excited laryngeal vibrations. J. Acoust. Soc. Am. 108 (4), 1397-1407.
40. Titze, I.R., 1994. Summary statement. In: Workshop on Acoustic Voice Analysis, National Center for Voice and Speech.
41. Whiteside S.P. Sex-specific fundamental and formant frequency patterns in a cross-sectional study. J. Acoust. Soc. Am. 110 1 (2001) 464-478