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Research on Low Delay 11.2kbps Speech Coding Algorithm

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7002))

Abstract

This paper presented a 11.2kbps speech coding algorithm, whose delay is 2.5ms and sampling rate is 8kHz. A 20 dimensional CELP is used in this algorithm, while self-adaptive codebook search cascaded with algebra codebook search are adopted in vector quantization. The PC simulation shows the synthetic speech quality after PESQ test is close to that of G.728 at 16kbps.

This work was partially funded by Shanxi Province Foundation for Returness(2009-31), International Scientific and Technological Cooperation Projects in Shanxi Province(2008-081026).

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References

  1. CCITT: Recommendation G.728, Coding of speech at 16kb/s using low-delay code excited linear prediction, Geneva (1992)

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  2. Wu, S., Zhang, G.: 8Kbit/s LD-aCELP Speech Coding with Backward Pitch Detection. In: Asia-Pacific Conference on Information Processing, Shenzhen, pp. 434–437 (2009)

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  3. Zhang, G., Xie, K., Zhang, X., Huangfu, L.: Improving G.728’s hybrid window and excitation gain. In: IEEE Asia-Pacific Conference on Circuits and Systems, Tainan, Taiwan, pp. 185–188 (2004)

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  4. ITU-T: Recommendation of G729, Coding of speech at 8 kbs using conjugate-structure algebraic-code-excited linear prediction, CS-ACELP (1996)

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  5. ITU-T: Recommendation P.862, Perceptual evaluation of speech quality (PESQ): An objective method for end-to-end speech quality assessment of narrow-band telephone networks and speech codecs (2001)

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© 2011 Springer-Verlag Berlin Heidelberg

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Zhao, Z., Zhang, G., Wang, Y. (2011). Research on Low Delay 11.2kbps Speech Coding Algorithm. In: Deng, H., Miao, D., Lei, J., Wang, F.L. (eds) Artificial Intelligence and Computational Intelligence. AICI 2011. Lecture Notes in Computer Science(), vol 7002. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23881-9_36

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  • DOI: https://doi.org/10.1007/978-3-642-23881-9_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23880-2

  • Online ISBN: 978-3-642-23881-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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