A noise-robust linear prediction analysis for efficient speech coding
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In this paper, we propose a new linear prediction (LP) analysis method for estimating LP coefficients that are used in current speech coders. This method improves the robustness of LP coefficients computed from noise-corrupted speech as well as enabling better quantisation efficiency. The study compares the quantisation performance, as well as the noise-robustness between the proposed LP coefficients and the conventional LP coefficients, in terms of spectral distortion. The results indicate that the proposed LP coefficients were more robust to noise and also enabled transparent coding at lower bitrates (savings of up to two bits/frame) than the conventional LP coefficients.
Proceedings of the Sixteenth Australasian International Conference on Speech Science and Technology
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