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Author:

Liang, Yan (Liang, Yan.) | Bao, Changchun (Bao, Changchun.) (Scholars:鲍长春) | Xia, Bingyin (Xia, Bingyin.) | Li, Na (Li, Na.) | Li, Ruwei (Li, Ruwei.)

Indexed by:

CPCI-S

Abstract:

An LP (Linear Prediction) spectrum modification method is proposed based on linear extrapolation for different signal to noise ratio under the white noise environment. A direct modification on the noisy LP spectrum is employed, since the autocorrelation coefficients of the original speech are not available in some practical applications. The linear suppression rule is applied into the high-frequency region of the noisy LP spectrum, while no modification is made in the low-frequency region. The experimental results on ITU-T G.722.2 demonstrate that, comparing with the reference methods, the proposed method could provide the reconstructed speech with an obvious improvement both in objective and subjective quality by using the modified LP coefficients.

Keyword:

autoregressive model noise-corrupted speech Linear predictive analysis linear extrapolation additive white noise

Author Community:

  • [ 1 ] [Liang, Yan]Beijing Univ Technol, Sch Elect Informat & Control Engn, Speech & Audio Signal Proc Lab, Beijing, Peoples R China
  • [ 2 ] [Bao, Changchun]Beijing Univ Technol, Sch Elect Informat & Control Engn, Speech & Audio Signal Proc Lab, Beijing, Peoples R China
  • [ 3 ] [Xia, Bingyin]Beijing Univ Technol, Sch Elect Informat & Control Engn, Speech & Audio Signal Proc Lab, Beijing, Peoples R China
  • [ 4 ] [Li, Na]Beijing Univ Technol, Sch Elect Informat & Control Engn, Speech & Audio Signal Proc Lab, Beijing, Peoples R China
  • [ 5 ] [Li, Ruwei]Beijing Univ Technol, Sch Elect Informat & Control Engn, Speech & Audio Signal Proc Lab, Beijing, Peoples R China

Reprint Author's Address:

  • [Liang, Yan]Beijing Univ Technol, Sch Elect Informat & Control Engn, Speech & Audio Signal Proc Lab, Beijing, Peoples R China

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Source :

2012 35TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP)

Year: 2012

Page: 450-453

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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