• DocumentCode
    3052307
  • Title

    Voice channel

  • Author

    Iyengar, Garud N.

  • Author_Institution
    Inf. Syst. Lab., Stanford Univ., CA, USA
  • fYear
    1997
  • fDate
    29 Jun-4 Jul 1997
  • Firstpage
    332
  • Abstract
    We introduce and offer a partial solution to the voice-channel problem. We are motivated by the problems in speech processing and recognition. The usual channel-capacity problem involves choosing appropriate signals to communicate over a fixed channel. In contrast, the voice-channel problem involves choosing appropriate channels or filters to modulate a random input signal from a known distribution. We want to characterize the set of distinguishable filters that maximize the information transmitted. The solution to this problem has tie-ins with achievable rates on Gaussian fading channels
  • Keywords
    Gaussian channels; channel capacity; fading; filtering theory; modulation; random processes; speech processing; speech recognition; voice communication; Gaussian fading channels; achievable rates; channel capacity; distribution; filters; information transmission; random input signal modulation; speech processing; speech recognition; voice channel problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
  • Conference_Location
    Ulm
  • Print_ISBN
    0-7803-3956-8
  • Type

    conf

  • DOI
    10.1109/ISIT.1997.613260
  • Filename
    613260