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A method of designing an adaptive uniform quantizer for LPC coefficients quantization

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Warianty tytułu
PL
Metoda projektowania adaptacyjnego kwantyzera LPC
Języki publikacji
EN
Abstrakty
EN
This paper proposes a method of designing the adaptive uniform quantizer for frame by frame LPC coefficients quantization. The method firstly determines the support region thresholds of two uniform quantizers designated to quantize the minimal and the maximal value of LPC coefficients of each frame. Based on this, the uniform quantizer thresholds estimation for LPC coefficients quantization are provided. The results obtained by testing the proposed method in processing the speech signal from the TIMIT data base are presented and disscused in the paper.
PL
W artykule zaproponowano metodę zuniformowane go adaptacyjne kwantowania współczynnika LPC (linear prediction coders). Początkowo obliczana jest minimalna i maksymalna wartość LPC dla każdej ramki. Następnie zuniformowany współczynnik jest określany. Zaprezentowano test metody na przykładzie przetwarzania sygnału mowy z bazy TIMIT.
Rocznik
Strony
245--248
Opis fizyczny
Bibliogr. 19 poz., rys., tab., wykr.
Twórcy
autor
autor
autor
Bibliografia
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  • [2] Recommendation G.729, Coding of Speech at 8 kbit/s Using Conjugate-Structure Algebraic-Code-Excited Linear-Prediction (CS-ACELP), ITU-T, (1996). 248 PRZEGLĄD ELEKTROTECHNICZNY (Electrical Review), ISSN 0033-2097, R. 87 NR 7/2011
  • [3] Recommendation GSM 06.10, GSM Full Rate Speech Transcoding, ETSI, (1992).
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  • [7] Paliwal K. K., Atal B. S., “Efficient Vector Quantization of LPC Parameters at 24 bits/frame”, IEEE Trans. Acoust., Speech, Signal Process., 1 (1993), pp. 3–14
  • [8] Paliwal K. K., Kleijn W. B., Quantization of LPC Parameters, Speech Coding and Synthesis, Elsevier, Amsterdam (1995), pp. 433–466.
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  • [10] W. F. LeBlanc, B. Bhattacharya, S. A. Mahmoud, and V. Cuperman, “Efficient Search and Design Procedures for Robust Multi-Stage VQ of LPC Parameters for 4 Kb/s Speech Coding”, IEEE Trans. Speech Audio Process, 1 (1993), No. 4, pp. 373–385
  • [11] Peric Zoran, Nikolic Jelena, Eskic Zlatan, Krstic Srbislava, Markovic Nebojsa, “Design of Novel Scalar Quantizer Model for Gaussian Source”, Information Technology and Control, 37 (2008), No. 4, pp. 321-325
  • [12] Peric Zoran, Nikolic Jelena, Mosic Aleksandar, Panic Stefan, “A Switched-Adaptive Quantization Technique Using ?-Law Quantizers”, Information Technology and Control, 39 (2010), No. 4, pp. 317-320
  • [13] Pindryck S. P. , and D. L. Rubinfeld, Econometric Models and Econometric Forecasts, McGraw-Hill, New York, (1998).
  • [14] Makhoul J., Linear Prediction: A Tutorial Review, Proc. IEEE, 63(4): (1975), 561–580
  • [15] Sharifzadeh H. R., McLoughlin I.V., Ahamdi F., “Voiced Speech from Whispers for Post-Laryngectomised Patients”, IAENG International Journal of Computer Science, 34 (2009), Issue 4
  • [16] Lipeika A., “Optimization of Formant Feature Based Speech Recognition”, Informatica, 21 (2010), No. 3, 361-374
  • [17] Markel J. D., Gray A. H., Linear Prediction of Speech, Springer, Berlin, 2nd edition, (1980).
  • [18] Hayes M. H., Statistical Digital Signal Processing and Modeling, J.Wiley & Sons, Inc., New York, (1996).
  • [19] Zhijian Yuan, The Weighted Sum of the Line Spectrum Pair for Noisy Speech, (Master Thesis: Helsinki University of Technology), (2003).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA7-0046-0002
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