Słowa kluczowe

Informacje szczegółowe

Kategoria:

Aktywność konferencyjna

Typ:

materiały konferencyjne indeksowane w Web of Science

Tytuł wydania:

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) strony 671 - 675

ISSN:

2379-190X

Język:

angielski

Rok wydania:

2017

Opis bibliograficzny:

Ciołek M., Niedźwiecki M..: Detection of impulsive disturbances in archive audio signals, W: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, ,.

DOI:

Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1109/icassp.2017.7952240

Bibliografia: test

1. S.V. Vaseghi, Advanced Digital Signal Processing and Noise Reduction, 4th ed. John Wiley and Sons Ltd., 2008. otwiera się w nowej karcie
2. J.S. Godsill and J.P.W. Rayner, Digital Audio Restora- tion. London, U.K.: Springer, 1998. otwiera się w nowej karcie
3. S.V. Vaseghi and J.P.W. Rayner, "Detection and suppres- sion of impulsive noise in speech communication sys- tems," IEE Proceedings, vol. 137, pp. 38-46, 1990. otwiera się w nowej karcie
4. S.V. Vaseghi and R. Frayling-Cork, "Restoration of old gramophone recordings," J. Audio Eng. Soc. vol. 40, no. 10, pp. 791-801, 1992. otwiera się w nowej karcie
5. P. Esquef, L. Biscainho, P. Diniz, and F. Freeland, "A double-threshold-based approach to impulsive noise de- tection in audio signals," in: Proc. European Signal Pro- cess. Conf., Tampere, Finland, pp. 2041-2044, 2000. otwiera się w nowej karcie
6. J.S. Godsill and J.P.W. Rayner, "A Bayesian approach to the restoration of degraded audio signals" IEEE Trans. Speech, Audio Process., vol. 3, pp. 267-278, 1995. otwiera się w nowej karcie
7. J.S. Godsill and P.J.W. Rayner, "Statistical reconstruc- tion and analysis of autoregressive signals in impulsive noise using the Gibbs sampler," IEEE Trans. Speech Au- dio Process., vol. 6, pp. 352-372, 1998. otwiera się w nowej karcie
8. F.R.Ávila and L.P.W. Biscainho, "Bayesian restoration of audio signals degraded by impulsive noise modeled as individual pulses," IEEE Trans. Audio, Speech Lan- guage Process., vol. 20, pp. 2470-2481, 2012. otwiera się w nowej karcie
9. M. Niedźwiecki and K. Cisowski, "Adaptive scheme for elimination of broadband noise and impulsive dis- turbances from AR and ARMA signals," IEEE Trans. Audio, Signal Process., vol. 44, pp. 528-537, 1996. otwiera się w nowej karcie
10. M. Niedźwiecki and M. Ciołek, "Elimination of clicks from archive speech signals using sparse autoregressive modeling," in Proc. 20th Eur. Signal Process. Conf., Bucharest, Romania, pp. 2615-2619, 2012. otwiera się w nowej karcie
11. M. Niedźwiecki and M. Ciołek, "Localization of impul- sive disturbances in audio signals using template match- ing," Digital Signal Process., vol. 46, pp. 253-265, 2015. otwiera się w nowej karcie
12. S. Canazza, G. De Poli, and G. Mian, "Restoration of audio documents by means of extended Kalman filter,", IEEE Trans. Audio, Speech Language Process. vol. 18, no. 6, pp. 1107-1115, 2010. otwiera się w nowej karcie
13. M. Niedźwiecki and M. Ciołek, "Elimination of impul- sive disturbances from archive audio signals using bidi- rectional processing," Trans. Audio Speech Lang. Pro- cess., vol. 21, pp. 1046-1059, 2013. otwiera się w nowej karcie
14. M. Niedźwiecki, M. Ciołek, and K. Cisowski, "Elim- ination of impulsive disturbances from stereo audio recordings using vector autoregressive modeling and variable-order Kalman filtering," IEEE/ACM Trans. Au- dio Speech Lang. Process., vol. 23, pp. 970-981, 2015. otwiera się w nowej karcie
15. M. Niedźwiecki and M. Ciołek, "Sparse vector autore- gressive modeling of audio signals and its application to the elimination of impulsive disturbances, in: 17th IFAC Symposium on System Identification, Beijing, China, pp. 1202-1207, 2015.
16. M. Ruhland, J. Bitzer, M. Brandt, and S. Goetze, "Reduction of Gaussian, supergaussian, and impulsive noise by interpolation of the binary mask residual," IEEE/ACM Transactions on Audio, Speech, and Lan- guage Processing, vol. 23, no. 10, pp. 1680 -1691, 2015 otwiera się w nowej karcie
17. R. Tong, Y. Zhou, L. Zhang, G. Bao, and Z. Ye, "A Ro- bust time-frequency decomposition model for suppres- sion of mixed Gaussian-impulse noise in audio signals", IEEE/ACM Transactions on Audio, Speech, and Lan- guage Processing, vol. 23, pp. 69-79, 2015.
18. M. Niedźwiecki, "Statistical reconstruction of multivari- ate time series," IEEE Trans. Signal Process., vol. 41, pp. 451-457, 1993. otwiera się w nowej karcie
19. M. Niedźwiecki, "On the localized estimators and gen- eralized Akaike's criteria" IEEE Trans. Automat. Contr., vol. 29, pp. 970-983, 1981. otwiera się w nowej karcie
20. T. Söderström and P. Stoica, System Identification. En- glewoods Cliffs NJ: Prentice-Hall, 1988.
21. M.S. Kay, Modern Spectral Estimation: Theory and Ap- plication, Englewoods Cliffs NJ: Prentice-Hall, 1988.
22. ITU-R Recommendation BS.1387-1, "Method for Objective Measurements of Perceived Audio Quality," 2001. otwiera się w nowej karcie
23. P. Kabal, "An Examination and Interpretation of ITU- R Recommendation BS.1387: Perceptual Evaluation of Audio Quality," Department of Electrical & Computer Engineering, McGill University, Canada, 2003.
24. J. Nuzman, "Audio restoration: An investigation of digital methods for click removal and hiss re- duction", University of Maryland, Institute for Ad- vanced Computer Studies, 2004 [Online]. Available: www.github.com/jnuzman/audio-restoration-2004, last seen in August 2016
25. M. Niedźwiecki and M. Ciołek, "Adaptive detection of impulsive disturbances in multivariate signals," submit- ted to IEEE Transactions on Signal Processing. otwiera się w nowej karcie

więcej (25) mniej

Weryfikacja:

Politechnika Gdańska