Skip to main content

Research of Speech Amplitude Distribution Based on Hadamard Transformation

  • Conference paper
  • First Online:
Machine Learning and Intelligent Communications (MLICOM 2016)

Abstract

In view of PCM (Pulse Code Modulation) of speech signal, this paper puts forward a method of speech processing based on hadamard matrix transformation to change the amplitude distribution of speech signal, which can reduce the standard deviation of speech signal. Experiments show that the hadamard matrix transformation algorithm can obviously reduce the amplitude range of speech signal. Speech signal standard deviation is reduced by 20% after the transformation. At the same time, speech quality after decoding is not decreased according to listening experimenter. The algorithm reduces amplitude range and standard deviation of the speech signal, which can code the speech signal with less bits, and compression efficiency can be further improved.

XU. Jingyun—Project supported by the National Nature Science Foundation of China (No. 61271248), Natural Science Foundation of Huzhou City (No. 2015YZ04).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Ahmed, N., Rao, K.R.: Orthogonal Transforms for Digital Signal Processing. Springer Science & Business Media, Heidelberg (2012)

    MATH  Google Scholar 

  2. Kaur, H., Kaur, R.: Speech compression and decompression using DWT and DCT. Int. J. Comput. Technol. Appl. 3(4), 1501–1503 (2012)

    Google Scholar 

  3. Hillebrand, F.: The creation of standards for global mobile communication: GSM and UMTS standardization from 1982 to 2000. IEEE Wirel. Commun. 20(5), 24–33 (2013)

    Article  Google Scholar 

  4. Amira, A., Bouridane, A., Milligan, P., et al.: Novel FPGA implementations of Walsh-Hadamard transforms for signal processing. IEE Proc. Vis. Image Sign. Process. 148(6), 377–383 (2001). IET

    Article  Google Scholar 

  5. Wang, G., Huang, H., Liu, Y., Zhang, X., Wang, Z.: Uncertainty estimation of reliability redundancy in complex systems based on the Cross-Entropy method. J. Mech. Sci. Technol. 23(10), 2612–2623 (2009)

    Article  Google Scholar 

  6. Fu, Z., Zhao, J.: Information Theory and Coding. Electronic Industry Press, Beijing (2008)

    Google Scholar 

  7. Kumar, A., Singh, G.K., Rajesh, G., et al.: The optimized wavelet filters for speech compression. Int. J. Speech Technol. 16(2), 171–179 (2013)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jingyun Xu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Cite this paper

Tu, J., Xu, J., Zhao, X. (2017). Research of Speech Amplitude Distribution Based on Hadamard Transformation. In: Xin-lin, H. (eds) Machine Learning and Intelligent Communications. MLICOM 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 183. Springer, Cham. https://doi.org/10.1007/978-3-319-52730-7_27

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-52730-7_27

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52729-1

  • Online ISBN: 978-3-319-52730-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics