Voice pathology detection based eon short-term jitter estimations in running speech

Folia Phoniatrica et Logopaedica

Volumn 61, Issue 3, 2009, Pages 153-170

  Vasilakis, Miltiadis ^a,b   Stylianou, Yannis ^a,b  

^a UNIVERSITY OF CRETE   (Greece)

^b INSTITUTE OF COMPUTER SCIENCE   (Greece)

Author keywords

Beat spectrum; Continuous speech; Jitter; Short term jitter; Spectral jitter; Sustained vowels

Indexed keywords

DYSPHONIA; JITTER; MATHEMATICAL MODEL; PITCH; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; REVIEW; SPEECH ANALYSIS; VOICE; VOWEL;

ALGORITHMS; AREA UNDER CURVE; DATABASES, FACTUAL; DYSPHONIA; HUMANS; PHONETICS; READING; ROC CURVE; SPEECH; SPEECH ACOUSTICS; SPEECH PRODUCTION MEASUREMENT; TIME FACTORS; VOICE DISORDERS;

EID: 67651083467     PISSN: 10217762     EISSN: None     Source Type: Journal    
DOI: 10.1159/000219951     Document Type: Review

References (32)

1. Lieberman P: Some acoustic measures of the fundamental periodicity of normal and pathologic larynges. J Acoust Soc Am 1963; 35:344-353.
2. Schoentgen J, De Guchteneere R: Time series analysis of jitter. J Phon 1995; 23:189-201.
3. Kreiman J, Gerratt BR: Perception of aperiodicity in pathological voice. J Acoust Soc Am 2005; 117:2201-2211.
4. Pinto NB, Titze IR: Unification of perturbation measures in speech signals. J Acoust Soc Am 1990; 87:1278-1289.
5. Feijoo S , Her nández-Espinosa C: Short-term stability measures for the evaluation of vocal qualit y. J Speech Hear Res 1990; 33:324-334.
6. Baken RJ, Orlikoff RF: Clinical Measurement of Speech and Voice, ed 2. San Diego, Singular Publishing Group, 1999.
7. Rosa M, Pereira JC, Grellet M: Adaptive estimation of residue signal for voice pathology diagnosis. IEEE Trans Biomed Eng 2000; 47: 96-104.
8. Endo Y, Kasuya H: A stochastic model of fundamental period perturbation and its application to perception of pathological voice quality. 4th Int Conf Spoken Lang Processing, Philadelphia, 1996, pp 772-775.
9. Parsa V, Jamieson DG: Acoustic discrimination of pathological voice: sustained vowels versus continuous speech. J Speech Lang Hear Res 2001; 44:327-339.
10. Umapathy K, Krishnan S, Parsa V, Jamieson DG: Discrimination of pathological voices using time-frequency approach. IEEE Trans Biomed Eng 2005; 52:421-430.
11. De Krom G: Acoustic correlates of breathiness and roughness: experiments on voice quality; thesis, Utrecht Institute of Linguistics OTS, Utrecht, 1994.
12. Fourcin A, Abberton E: Hearing and phonetic criteria in voice measurement: clinical applications. Logoped Phoniatr Vocol 2008; 33: 35-48.
13. Gubrynowitz R, Mikiel W, Zarnecki P: An acoustic method for the evaluation of the state of the larynx source in cases involving pathological changes. Arch Acoust 1980; 5: 3-30.
14. Askenfelt A, Hammarberg B: Speech waveform perturbation analysis revisited. Speech Transm Lab Q Prog Status Rep 1981; 22: 49-68.
15. Laver J, Hiller S, Mackenzie J, Rooney E: An acoustic screening system for the detection of laryngeal pathology. J Phon 1986;14:517-524.
16. Vasilakis M, Stylianou Y: A mathematical model for accurate measurement of jitter. MAVEBA 2007, Florence, 2007, pp 7-10.
17. Vasilakis M, Stylianou Y: Spectral jitter modeling and estimation. Biomed Signal Process Control, in press.
18. Boersma P, Weenink D: Praat: Doing Phonetics by Computer. Version 5.0.22. 2008.
19. Kay Elemetrics: Multidimensional Voice Program (MDVP). 2007.
20. Quatieri TF: Discrete-Time Speech Signal Processing: Principles and Practice. Upper Saddle River, Prentice Hall, 2002.
21. Murphy PJ: Spectral characterization of jitter, shimmer, and additive noise in synthetically generated voice signals. J Acoust Soc Am 2000; 107: 978-988.
22. Egan JP: Signal Detection Theory and ROC Analysis. New York, Academic Press, 1975.
23. Hanley JA, McNeil BJ: The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 1982; 143 : 29-36.
24. Kay Elemetrics. Disordered Voice Database (Version 1.03). 1994.
25. Godino-Llorente JI, Osma-Ruiz V, Sáenz-Lechón N, Cobeta-Marco I, González-Her-ranz R, Ramírez-Calvo C: Acoustic analysis of voice using WPCVox: a comparative study with Multi Dimensional Voice Program. Eur Arch Otolary ngol 2008; 265: 465-476.
26. Deliyski DD: Acoustic model and evaluation of pathological voice production. Eurospeech '93, Berlin, 1993, pp 1969-1972.
27. Stylianou Y: Harmonic plus noise models for speech, combined with statistical methods, for speech and speaker modification; PhD thesis, Ecole Nationale Supérieure des Télécommunications, Paris, 1996.
28. Hollien H, Michel J, Doherty ET: A method for analysing vocal jitter in sustained phonation. J Phon 1973; 1: 85-91.
29. Koike Y, Takahashi H, Calcaterra TC: Acoustic measures for detecting laryngeal pathology. Acta Otolaryngol 1977;84:105-117.
30. Horii Y: Fundamental frequency perturbation observed in sustained phonation. J Speech Hear Res 1979; 22: 5-19.
31. Schoentgen J: Stochastic models of jitter. J Acoust Soc Am 2000; 109:1631-1650.
32. Schoentgen J, De Guchteneere R: Predictable and random components of jitter. Speech Commun 1997; 21:255-272.