A smoothed and thresholded linear prediction analysis for efficient speech coding
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Author(s)
Alatwi, A
Paliwal, KK
Griffith University Author(s)
Year published
2018
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In this paper, we propose a new method of linear prediction (LP) analysis for estimating LP coefficients that are used in current speech coders. This method improves the robustness of LP coefficients computed from speech signals corrupted by noise as well as offering better quantisation efficiency. The quantisation performance and the noise-robustness obtained by the proposed LP coefficients were compared to that obtained by the LP coefficients computed using the autocorrelation and LP spectrum modification methods of LP Analysis, in terms of spectral distortion (SD). The results indicate that the proposed LP coefficients ...
View more >In this paper, we propose a new method of linear prediction (LP) analysis for estimating LP coefficients that are used in current speech coders. This method improves the robustness of LP coefficients computed from speech signals corrupted by noise as well as offering better quantisation efficiency. The quantisation performance and the noise-robustness obtained by the proposed LP coefficients were compared to that obtained by the LP coefficients computed using the autocorrelation and LP spectrum modification methods of LP Analysis, in terms of spectral distortion (SD). The results indicate that the proposed LP coefficients were more robust to noise and also offered transparent quantisation at lower bit-rates (savings of up to 2 bits/frame) than other LP coefficients.
View less >
View more >In this paper, we propose a new method of linear prediction (LP) analysis for estimating LP coefficients that are used in current speech coders. This method improves the robustness of LP coefficients computed from speech signals corrupted by noise as well as offering better quantisation efficiency. The quantisation performance and the noise-robustness obtained by the proposed LP coefficients were compared to that obtained by the LP coefficients computed using the autocorrelation and LP spectrum modification methods of LP Analysis, in terms of spectral distortion (SD). The results indicate that the proposed LP coefficients were more robust to noise and also offered transparent quantisation at lower bit-rates (savings of up to 2 bits/frame) than other LP coefficients.
View less >
Journal Title
Journal of Communications
Volume
13
Issue
5
Copyright Statement
© 2018 Academy Publisher. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
Subject
Signal processing
Communications engineering