Time-varying autoregressions in speech: Detection theory and applications

IEEE Transactions on Audio, Speech and Language Processing

Volumn 19, Issue 4, 2011, Pages 977-989

  Rudoy, Daniel ^a   Quatieri, Thomas F ^c   Wolfe, Patrick J ^b  

^a Wolf   (United States)

^b HARVARD UNIVERSITY   (United States)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Glottal airflow; likelihood ratio test; linear prediction; nonstationary time series; vocal tract variation

Indexed keywords

GLOTTAL AIRFLOW; LIKELIHOOD RATIO TEST; LINEAR PREDICTION; NONSTATIONARY TIME SERIES; VOCAL-TRACTS;

DECISION THEORY; REGRESSION ANALYSIS; SPEECH ANALYSIS; TIME SERIES; TIME VARYING SYSTEMS;

SPEECH RECOGNITION;

EID: 79953288197     PISSN: 15587916     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASL.2010.2073704     Document Type: Article

References (53)

1. D. Rudoy, T. F. Quatieri, and P. J. Wolfe, "Time-varying autoregressive tests for multiscale speech analysis," in Proc. 10th Annu. Conf. Int. Speech Commun. Assoc., 2009, pp. 2839-2842 [Online].Available: http://sisl.seas.harvard.edu
2. T. F. Quatieri, Discrete-Time Speech Signal Processing: Principles and Practice. Upper Saddle River, NJ: Prentice-Hall, 2002.
3. A. V. Brandt, "Detecting and estimating parameter jumps using ladder algorithms and likelihood ratio tests," in Proc. IEEE Int. Conf. Acoust. Speech, Signal Process., 1983, vol. 8, pp. 1017-1020.
4. R. Andre-Obrecht, "A new statistical approach for the automatic segmentation of continuous speech signals," IEEE Trans. Acoust., Speech, Signal Process., vol. 36, no. 1, pp. 29-40, Jan. 1988. (Pubitemid 18013484)
5. E. Moulines and R. D. Francesco, "Detection of the glottal closure by jumps in the statistical properties of the speech signal," Speech Commun., vol. 9, pp. 401-418, 1990.
6. L. A. Liporace, "Linear estimation of non-stationary signals," J. Acoust. Soc. Amer., vol. 58, pp. 1268-1295, 1975.
7. J. Turner and B. Dickinson, "Linear prediction applied to time-varying all-pole signals," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., 1977, pp. 750-753. (Pubitemid 8560968)
8. M. G. Hall, A. V. Oppenheim, and A. S.Willsky, "Time-varying parametric modeling of speech," Signal Process., vol. 5, pp. 267-285, 1983.
9. Y. Grenier, "Time-dependent ARMA modeling of nonstationary signals," IEEE Trans. Acoust., Speech, Signal Process., vol. ASSP-31, no. 4, pp. 899-911, Aug. 1983. (Pubitemid 14455172)
10. Y. Grenier, "Autoregressive models with time-dependent log area ratios," IEEE Trans. Acoust., Speech, Signal Process., vol. 36, no. 10, pp. 1602-1612, Dec. 1988.
11. K. S. Nathan, Y. T. Lee, and H. F. Silverman, "A time-varying analysis method for rapid transitions in speech," IEEE Trans. Signal Process., vol. 39, no. 4, pp. 815-824, Apr. 1991.
12. K. S. Nathan and H. F. Silverman, "Time-varying feature selection and classification of unvoiced stop consonants," IEEE Trans. Speech Audio Process., vol. 2, no. 3, pp. 395-405, Jul. 1994.
13. J. J. Rajan and P. J. W. Rayner, "Generalized feature extraction for time-varying autoregressive models," IEEE Trans. Signal Process., vol. 44, no. 10, pp. 2498-2507, Dec. 1996. (Pubitemid 126776552)
14. J. Vermaak, C. Andrieu, A. Doucet, and S. J. Godsill, "Particle methods for Bayesian modeling and enhancement of speech signals," IEEE Trans. Speech Audio Process., vol. 10, no. 3, pp. 173-185, Mar. 2002. (Pubitemid 34692541)
15. J. R. Hopgood and P. J. W. Rayner, "Blind single channel deconvolution using nonstationary signal processing," IEEE Trans. Speech Audio Process., vol. 11, no. 5, pp. 476-488, Sep. 2003.
16. K. Schnell and A. Lacroix, "Time-varying linear prediction for speech analysis and synthesis," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., 2008, pp. 3941-3944.
17. T. S. Rao, "The fitting of non-stationary time series models with time dependent parameters," J. R. Stat. Soc. B, vol. 32, pp. 312-322, 1970.
18. F. Kozin and F. Nakajima, "The order determination problem for linear time-varying AR models," IEEE Trans. Autom. Control, vol. AC-25, no. 2, pp. 250-257, Apr. 1980. (Pubitemid 10475307)
19. G. Kitagawa and W. Gersch, "A smoothness priors time-varying AR coefficient modeling of nonstationary covariance time series," IEEE Trans. Autom. Control, vol. 30, no. 1, pp. 48-56, Jan. 1985. (Pubitemid 15453454)
20. M. K. Tsatsanis and G. B. Giannakis, "Time-varying system identification and model validation using wavelets," IEEE Trans. Signal Process., vol. 41, no. 12, pp. 3512-3523, Dec. 1993.
21. J. J. Rajan, P. J. W. Rayner, and S. J. Godsill, "Bayesian approach to parameter estimation and interpolation of time-varying autoregressive processes using the Gibbs sampler," IEE Vision, Image, Signal Process., vol. 144, pp. 249-256, 1997.
22. M. Juntunen, J. Tervo, and J. P. Kaipio, "Stabilization of Subba Rao- Liporace models," Circuit Syst. Signal Process., vol. 17, pp. 395-406, 1989.
23. T. Hsiao, "Identification of time-varying autoregressive systems using maximum a posteriori estimation," IEEE Trans. Signal Process., vol. 56, no. 8, pp. 3497-3509, Aug. 2008.
24. S. M. Kay, "A new nonstationarity detector," IEEE Trans. Signal Process., vol. 56, no. 4, pp. 1440-1451, Apr. 2008.
25. S. Kay, Fundamentals of Statistical Signal Processing: Detection Theory. Upper Saddle River, NJ: Prentice-Hall, 1998.
26. Y. I. Abramovich, N. K. Spencer, and M. D. E. Turley, "Order estimation and discrimination between stationary and time-varying (TVAR) autoregressive models," IEEE Trans. Signal Process., vol. 55, no. 6, pp. 2861-2876, Jun. 2007. (Pubitemid 46845677)
27. D. Rudoy, P. Basu, T. F. Quatieri, B. Dunn, and P. J.Wolfe, "Adaptive short-time analysis-synthesis for speech enhancement," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., 2008, pp. 4905-4908 [Online]. Available: http://sisl.seas.harvard.edu
28. D. Rudoy, P. Basu, and P. J.Wolfe, "Superposition frames for adaptive time-frequency representations and fast reconstruction," IEEE Trans. Signal Process., vol. 58, no. 5, pp. 2581-2596, May 2010.
29. R. C. Hendriks, R. Heusdens, and J. Jensen, "Adaptive time segmentation for improved speech enhancement," IEEE Trans. Audio Speech Lang. Process., vol. 14, no. 6, pp. 2064-2074, Nov. 2006.
30. V. Tyagi, H. Bourlard, and C.Wellekens, "On variable-scale piecewise stationary spectral analysis of signals for ASR," Speech Commun., vol. 48, pp. 1182-1191, 2006. (Pubitemid 44128616)
31. G. S. Morrison, "Likelihood-ratio forensic voice comparison using parametric representations of the formant trajectories of diphthongs," J. Acoust. Soc. Amer., vol. 125, pp. 2387-2397, 2009.
32. D. Y. Wong, J. D. Markel, and A. H. Gray, "Least squares glottal inverse filtering from the acoustic speech waveform," IEEE Trans. Acoust., Speech, Signal Process., vol. ASSP-27, no. 4, pp. 350-355, Aug. 1979. (Pubitemid 10188876)
33. M. D. Plumpe, T. F. Quatieri, and D. A. Reynolds, "Modeling of the glottal flow derivative waveform with application to speaker identification," IEEE Trans. Speech Audio Process., vol. 7, no. 5, pp. 569-586, Sep. 1999.
34. M. Brookes, P. A. Taylor, and J. Gudnasson, "A quantitative assessment of group delay methods of identifying glottal closures in voiced speech," IEEE Trans. Audio, Speech, Lang. Process., vol. 14, no. 2, pp. 456-466, Mar. 2006.
35. D. G. Childers and J. N. Larar, "Electroglottography for laryngeal function assessment and speech analysis," IEEE Trans. Biomed. Eng., vol. BME-31, no. 12, pp. 807-817, Dec. 1984. (Pubitemid 15453675)
36. J. S. Garofolo, L. Lamel, W. Fisher, J. Fiscus, D. Pallett, N. Dahlgren, and V. Zue, TIMIT Acoustic-Phonetic Continuous Speech Corpus. Philadelphia, PA: Linguistic Data Consortium, 1993.
37. P. A. Naylor, A. Kounoudes, J. Gudnasson, and M. Brookes, "Estimation of glottal closure instants in voiced speech using the DYPSA algorithm," IEEE Trans. Audio, Speech, Lang. Process., vol. 15, no. 1, pp. 34-43, Jan. 2007.
38. S. Kay, Modern Spectral Estimation: Theory and Application. Upper Saddle River, NJ: Prentice-Hall, 1988.
39. M. Morf, B. Dickinson, T. Kailath, and A. Vieira, "Efficient solution of covariance equations for linear prediction," IEEE Trans. Acoust., Speech, Signal Process., vol. ASSP-25, no. 5, pp. 429-433, Oct. 1977. (Pubitemid 8572771)
40. M. Kendall, A. Stuart, J. K. Ord, and S. Arnold, Kendall's Advanced Theory of Statistics. London, U.K.: Hodder Arnold, 1999, vol. 2.
41. J. W. Brewer, "Kronecker products and matrix calculus in system theory," IEEE Trans. Circuits Syst., vol. CAS-25, no. 9, pp. 772-781, Sep. 1978.
42. 2 test," J. Amer. Statist. Assoc., vol. 69, pp. 174-180, 1974.
43. J. P. Bello, L. Daudet, S. Abdallah, C. Duxbury, and M. Davies, "A tutorial on onset detection in music signals," IEEE Trans. Speech Audio Process., vol. 13, no. 5, pp. 1035-1048, Sep. 2005.
44. S. Jarifia, D. Pastora, and O. Rosec, "A fusion approach for automatic speech segmentation of large corpora with application to speech synthesis," Speech Commun., vol. 50, pp. 67-80, 2008. (Pubitemid 47592927)
45. R. E. Quandt, "Tests of the hypothesis that a linear regression system obeys two separate regimes," J. Amer. Stat. Assoc., vol. 55, pp. 324-330, 1960.
46. H. Akaike, "Block-Toeplitz matrix inversion," Siam J. Appl. Math., vol. 24, pp. 234-241, 1973.
47. K. Sjölander and J. Beskow, 2005, WaveSurfer 1.8.5 for Windows, KTH Royal Inst. of Technol. [Online]. Available: http://www.speech. kth.se/wavesurfer/wavesurfer-185-win.zip
48. T. Drugman and T. Dutoit, "Glottal closure and opening instant detection from speech signals," in Proc. 10th Annu. Conf. Int. Speech Commun. Assoc., 2009.
49. M. P. Thomas, J. Gudnason, and P. A. Naylor, "Detection of glottal closing and opening instants using an improved DYPSA framework," in Proc. 17th Eur. Signal Process. Conf, Glasgow, U.K., 2009.
50. N. Henrich, C. d'Alessandro, B. Doval, and M. Castellengo, "On the use of the derivative of electroglottographic signals for characterization of nonpathological phonation," J. Acoust. Soc. Amer., vol. 115, pp. 1321-1332, 2004. (Pubitemid 38298582)
51. T. V. Ananthapadmanabha and G. Fant, "Calculation of true glottal flow and its components," Speech Commun., vol. 1, pp. 167-184, 1982. (Pubitemid 13556172)
52. M. Huckvale, 2000, "Speech Filing System: Tools for Speech Research," Univ. College London. [Online]. Available: http://www.phon. ucl.ac.uk/resource/sfs
53. M. Brookes, 2006, "VOICEBOX: A Speech Processing Toolbox for MATLAB," Imperial College London. [Online]. Available: