中国邮电高校学报(英文) ›› 2007, Vol. 14 ›› Issue (4): 64-69.doi: 1005-8885 (2007) 04-0064-06

• Artificial Intelligence • 上一篇    下一篇

Multipurpose speech watermarking based on multistage vector quantization of linear prediction coefficients

陈宁;朱杰   

  1. Department of Electronic Engineering, Shanghai Jiao Tong University
  • 收稿日期:2007-04-05 修回日期:1900-01-01 出版日期:2007-12-24
  • 通讯作者: 陈宁

Multipurpose speech watermarking based on multistage vector quantization of linear prediction coefficients

CHEN Ning; ZHU Jie   

  1. Department of Electronic Engineering, Shanghai Jiao Tong University
  • Received:2007-04-05 Revised:1900-01-01 Online:2007-12-24
  • Contact: CHEN Ning

摘要:

To make speech watermarking achieve both copyright protection and integrity verification, a novel multipurpose speech watermarking algorithm based on the multistage vector quantization (MSVQ) of linear prediction coefficients (LPCs) is presented in this article. The property of natural speech that the vector quantization (VQ) indices of the LPCs amongst neigh- boring frames tend to be very similar is utilized to embed the robust watermark in the indices of the first-stage VQ (VQ1). Then, the semi-fragile watermark is embedded in the indices of the second-stage VQ (VQ2) with index constrained VQ encoding scheme. Both the robust watermark and the semi-fragile water- mark can be extracted without host speech. Simulation results verify the effectiveness of the proposed algorithm in terms of robustness and semi-fragility.

关键词:

multipurpose speech watermarking; LPCs; MSVQ

Abstract:

To make speech watermarking achieve both copyright protection and integrity verification, a novel multipurpose speech watermarking algorithm based on the multistage vector quantization (MSVQ) of linear prediction coefficients (LPCs) is presented in this article. The property of natural speech that the vector quantization (VQ) indices of the LPCs amongst neigh- boring frames tend to be very similar is utilized to embed the robust watermark in the indices of the first-stage VQ (VQ1). Then, the semi-fragile watermark is embedded in the indices of the second-stage VQ (VQ2) with index constrained VQ encoding scheme. Both the robust watermark and the semi-fragile water- mark can be extracted without host speech. Simulation results verify the effectiveness of the proposed algorithm in terms of robustness and semi-fragility.

Key words:

multipurpose speech watermarking; LPCs; MSVQ