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Skuteczne kodowanie parametru LSP przy użyciu metody Compressed Sensing
Języki publikacji
Abstrakty
An efficient LSP parameters quantization scheme is proposed using the compressed sensing (CS). The LSP parameters extracted from consecutive speech frames are compressed by CS on the approximate KLT domain to produce a measurement vector, which is quantized using the split vector quantizer. Then, from the quantized measurements, the original LSP parameters are reconstructed by the orthogonal matching pursuit method. Experiments show that the scheme can obtain "transparent quality" at 5 bits/frame with drastic bits reduction compared to other methods.
Zaproponowano kwantyzację parametru LSP (Linear prediction coefficient) przy użyciu metody compressed sensing CS. Oryginalna wartośc LSP może być zrekonstruowana przy zastosowaniu metody ortogonalnego dopasowania. Uzyskano dobrą jakość ramki 5 bitów/ramka ze znacząca redukcją bitów w porównaniu z innymi metodami.
Wydawca
Czasopismo
Rocznik
Tom
Strony
230--234
Opis fizyczny
Bibliogr. 18 poz., rys., tab., wykr.
Twórcy
autor
autor
autor
autor
- Institute of Communications Engineering, PLA Univ. of Sci. & Tech., okxiaogiang@gmail.com
Bibliografia
- [1] F.Nordén, T.Eriksson. On split quantization of LSF parameters. IEEE ICASSP 2004, pp. 157-160.
- [2] I.A.Gerson, M.A.Jasiuk. Vector sum excitation linear prediction (VSELP) speech coding at 8 kbps. IEEE ICASSP 1990, pp.461-464.
- [3] T.Moriya, M.Honda. Speech coder using phase egualization and vectorquantization. IEEE ICASSP 1986, pp.1701-1704.
- [4] Y. Shoham. Cascaded likelihood vector coding of the LPC information. IEEE ICASSP 1989, pp.160-163.
- [5] K.K.Paliwal, B.S.Atal. Efficient vector quantization of LPC parameters at 24bits/frame. IEEE Trans, on speech and audio processing, Vol. 1, No. 1, pp.3-14, 1993.
- [6] W.P.LeBlanc, B.Bhattacharya, S.A.Mahmoud, et al. Efficient search and design procedures for robust Multi-stage VQ of LPC parameters for 4 kb/s speech coding. IEEE Trans, or, speech and audio processing, Vol. 1, No. 4, pp.373-385, 1993.
- [7] Xia Zou, Xiongwei Zhang. Efficient coding of LSF parameters using multi-mode predictive multistage matrix quantization IEEE ICSP 2008, pp.542-545.
- [8] S.Subasingha, M.N.Murthi, S.V.Andersen. On GMM kalman predictive coding of LSFs for packet loss. IEEE ICASSP 2009. pp.4105-4108.
- [9] S. Özaydin, B.Baykal. Matrix guantization and mixed excitation based linear predictive speech coding at very low bit rates Speech communication, Vol. 41, pp.381-392, 2003.
- [10] Xia Zou, Xiongwei Zhang, Yafei Zhang. A SOObps speech coding algorithm based on multi-mode matrix guantization, IEEE WCSP 2009, pp.1-4.
- [11] D.L.Donoho. Compressed sensing. IEEE Trans, on information theory, Vol. 52, No. 4, pp.1289-1306, 2006.
- [12] T.V.Sreenivas, W.B.KIeijn. Compressed sensing for sparsely excited speech signals. IEEE ICASSP 2009, pp.4125-4128.
- [13] R.G.Baraniuk. Compressive sensing. IEEE Signal Processing Magazine, Vol. 24, No. 4, pp.118-121, 2007.
- [14] A.Zymnis, S.Boyd, E.Candes. Compressed sensing with quantized measurements. IEEE Signal Processing letters, Vol, 17, No. 2, pp.149-152, 2010.
- [15] J.A.Tropp, A.C.Gilbert. Signal recovery from random measurements via orthogonal matching pursuit. IEEE Trans. on information theory, Vol. 53, No. 12, pp.4655-4666, 2007.
- [16] E.Candes, T.Tao. Decoding by linear programming. IEEE Trans, on information theory, Vol. 51, No. 12, pp.4203-4215, 2005.
- [17] C.E.Davila. Blind adaptive estimation of KLT basis vectors, IEEE Trans, on signal processing, Vol. 49, No. 7, pp.1364-1369, 2001.
- [18] F.Gianfelici, G.Biagetti, P.Crippa, et al. A novel KLT algorithm optimized for smali signal sets. IEEE ICASSP 2005, pp.405-408.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA7-0045-0053