Efficient codebook search procedure for vector-sum excited linear predictive coding of speech

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Efficient codebook search procedure for vector-sum excited linear predictive coding of speech

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An efficient codebook search method for the EIA/TIA IS-54 vector-sum excited linear predictive (VSELP) speech coder is described. The method uses a two-stage search procedure. In the first stage, diagonal approximation of the correlation matrix of the filtered basis vectors is assumed and a simple sign detection procedure is used to identify a codeword which is close to the optimum codeword. In the second stage, a refinement search is carried out on those codewords which have a Hamming distance of one from the codeword obtained in the first stage. The new search procedure has a complexity only proportional to the bit rate which is much faster than the Gray code search employed in the IS-54 VSELP coder. Simulation results show that the SNR obtained using the proposed fast procedure is the same as that obtained in the standard VSELP coder.

Inspec keywords: correlation methods; speech coding; linear predictive coding; search problems

Other keywords: sign detection procedure; Hamming distance; codebook search procedure; vector-sum excited linear predictive coding; two-stage search procedure; refinement search; diagonal approximation; fast procedure; SNR; filtered basis vectors; EIA/TIA IS-54; correlation matrix; VSELP speech coder

Subjects: Speech and audio signal processing; Codes

References

    1. 1)
      • Gerson, I.A., Jasiuk, M.A.: `Vector sum excited linear predictive (VSELP) speech coding at 8 kbps', Proc. Int. Conf. on Acoustics, Spech, and Signal Processing, 1990, p. 461–464.
    2. 2)
      • Campbell, J., Welch, V., Tremain, T: `An expandable error-protected 4800 bps CELP coder', Proc. Int. Conf. on Acoustics, Spech, and Signal Processing, 1989, p. 735–737.
    3. 3)
      • I.M. Trancoso , B.S. Atal . Efficient search procedures for selecting the optimum innovation in stochasticcoders. IEEE Trans. , 3 , 385 - 396
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