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Tytuł artykułu

Wow defect reduction based on interpolation techniques

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Wybrane pełne teksty z tego czasopisma
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Języki publikacji
EN
Abstrakty
EN
In this paper the capacity of non-uniform sampling rate conversion techniques, invo1ving different interpolation methods, aimed at wow defect reduction, is examined. Involved are: linear interpolation, tour po1ynomial-based interpolation methods and the windowed sincbased method. The examined polynomial methods are: Lagrange interpolation, polynomial fitting with additional noise reduction, Hermitan and Spline. The performance of an artificially distorted audio signal, restored using non-uniform resampling, is evaluated on the basis of standard audio defect measurement criteria and compared for all of the aforementioned interpolation methods. The chosen defect descriptors are: total harmonic distortion, total harmonic distortion plus noise and signal to noise ratio.
Rocznik
Strony
469--477
Opis fizyczny
Bibliogr. 13 poz., rys., tab.
Twórcy
autor
  • Multimedia Systems Department, Gdańsk University of Technology, 11/12 Narutowicza St., 80-952 Gdańsk, Poland, p_maziewski@pg.gda.pl
Bibliografia
  • [1] G. Brock-Nannestad, ”What are the sources of the noises we remove?”, Proc. AES 20th Int. Conf. 1960, (2001).
  • [2] A. Czyzewski, P. Maziewski, M. Dziubinski, A. Kaczmarek and B. Kostek, ”Wow detection and compensation employing spectral processing of audio”, Proc. 117 AES Conv. 6212, (2004).
  • [3] A. Czyzewski, M. Dziubinski, A. Ciarkowski, M. Kulesza, P. Maziewski and J. Kotus, ”New algorithms for wow and flutter detection and compensation in audio”, Proc. 118 AES Conv. 6353, (2005).
  • [4] A. Czyzewski, P. Maziewski, M. Dziubinski, A. Kaczmarek, M. Kulesza and A. Ciarkowski, ”Methods for detection and removal of parasitic frequency modulation in audio recordings”, Proc. AES 26th Int. Conf. 3–3, (2005).
  • [5] A. Czyzewski, M. Dziubinski, L. Litwic and P. Maziewski, ”Intelligent algorithms for optical track audio restoration”, Lecture Notes in Artificial Intelligence 3642, 283–293 (2005).
  • [6] AES 6-1982, ”Method for measurement of weighted peak flutter of sound recording and reproducing equipment”, J. Audio Eng. Soc. 33 (6), 468–475 (1985).
  • [7] F. Marvasti, Nonuniform Sampling Theory and Practice, Kluwer Academic Publishers, New York, 2001.
  • [8] J.L. Lagrange, ”Leçons élémentaires sur les mathématiques données a l’école normale (1795)”, Oeuvres de Lagrange 7, Gauthier-Villars, Paris, 183–287 (1877).
  • [9] F.N Fritsch and R.E. Carlson, ”Monotone piecewise cubic interpolation”, SIAM J. Num. Analysis 17, (1980).
  • [10] C. de Boor, A Practical Guide to Splines, Springer-Verlag, Berlin, 1978.
  • [11] T.I. Laakso, A. Tarczynski, N.P. Murphy and V. Valimaki, ”Polynomial filtering approach to reconstruction and noise reduction of nonuniformly sampled signal”, Signal Processing 80, 567–575 (2000).
  • [12] S. K. Mitra, K. Sanjit and J.F. Kaiser, Handbook for Digital Signal Processing, John Wiley, 1993.
  • [13] B. Metzler, Audio Measurement Handbook, Audio Precision, 130–145 (1973).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPG5-0016-0033
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