Earticle

초록

영어

In this paper, a new joint speech encoding scheme based on compressed sensing was proposed. In this encoding algorithms, the compressed sensing reconstruction and PCM (Pulse Coding Modulation) were used for the speech signal encode. For the speech signal, the high frequency and low frequency coefficients can be acquired by using the wavelet transform based on the lifting scheme. For the details coefficients, using a hard threshold to remove the smaller coefficients, the high frequency coefficients are sparse, so the high frequency can be reconstructed with the compressed sensing method. Because the length of the low frequency coefficients is half of the original signal length, the PCM complex of the speech signal can be reduced. Finally, the speech can be approximately recovered with the low frequency PCM coefficients and the high frequency compressed sensing reconstructed coefficients. The experimental results demonstrate the application effectiveness for this encoding scheme in the speech processing fields.

목차

Abstract
 1. Introduction
 2. Joint Speech Encoding Scheme
 3. Compressed Sensing
 4. Wavelet Transform
  4.1. The Forward Transform
  4.2. The Inverse Transform
 5. PCM
 6. Experimental Results
 7. Conclusion
 Acknowledgements
 References

키워드

저자

• Guangchun Gao [ School of Information Science and Electronic Engineering, Zhejiang University City College, Hangzhou, China, 310015 ]
• Lina Shang [ School of Information Science and Electronic Engineering, Zhejiang University City College, Hangzhou, China, 310015 ]
• Kai Xion [ School of Information Science and Electronic Engineering, Zhejiang University City College, Hangzhou, China, 310015 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605